2026

[1]

Aerial Manipulation with Contact-Aware Onboard Perception and Hybrid Control.

By Zhan, Y., Jiang, Y., Cao, M. and Geng, J.

In IEEE International Conference on Robotics and Automation (ICRA), p. Accepted, 2026.

@inproceedings{zhan2026contact-aware,
  title = {Aerial Manipulation with Contact-Aware Onboard Perception and Hybrid Control},
  author = {Zhan, Yuanzhu and Jiang, Yufei and Cao, Muqing and Geng, Junyi},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {Accepted},
  url = {-},
  year = {2026},
  organization = {IEEE}
}

[2]

A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning.

By Jiang, Y., Zhan, Y., Gupta, H.V., Borde, C. and Geng, J.

In IEEE International Conference on Robotics and Automation (ICRA), p. Accepted, 2026.

@inproceedings{jiang2025selfsupervised,
  title = {A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning},
  author = {Jiang, Yufei and Zhan, Yuanzhu and Gupta, Harsh Vardhan and Borde, Chinmay and Geng, Junyi},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {Accepted},
  url = {https://arxiv.org/abs/2504.04289},
  year = {2026},
  organization = {IEEE}
}

[3]

Distributed State Estimation for Vision-Based Cooperative Slung Load Transportation in GPS-Denied Environments.

By Pence, J.R., Fezell, J., Langelaan, J.W. and Geng, J.

In AIAA SCITECH 2026 Forum, p. 2575, 2026.

@inproceedings{pence2026distributed,
  title = {Distributed State Estimation for Vision-Based Cooperative Slung Load Transportation in GPS-Denied Environments},
  author = {Pence, Jack R and Fezell, Jackson and Langelaan, Jack W and Geng, Junyi},
  booktitle = {AIAA SCITECH 2026 Forum},
  pages = {2575},
  year = {2026}
}

[4]

Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments.

By Zhang, Y. and Geng, J.

In AIAA SCITECH 2026 Forum, p. 1760, 2026.

@inproceedings{zhang2026physics,
  title = {Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments},
  author = {Zhang, Yiming and Geng, Junyi},
  booktitle = {AIAA SCITECH 2026 Forum},
  pages = {1760},
  year = {2026}
}

2025

[1]

AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability.

By Qiu, Y., Xu, C., Chen, Y., Zhao, S., Geng, J. and Scherer, S.

In IEEE Robotics and Automation Letters, vol. 10, no. 9, pp. 9368–9375, 2025.

@article{11045120,
  author = {Qiu, Yuheng and Xu, Can and Chen, Yutian and Zhao, Shibo and Geng, Junyi and Scherer, Sebastian},
  journal = {IEEE Robotics and Automation Letters},
  title = {AirIO: Learning Inertial Odometry with Enhanced IMU Feature Observability},
  year = {2025},
  volume = {10},
  number = {9},
  pages = {9368-9375},
  keywords = {Autonomous aerial vehicles;Sensors;Vehicle dynamics;Odometry;Principal component analysis;Pedestrians;Gravity;Feature extraction;Accuracy;Decoding;Aerial Systems: Perception and Autonomy;Deep Learning Methods;Localization},
  doi = {10.1109/LRA.2025.3581130}
}

[2]

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control.

By He, H., Qiu, Y. and Geng, J.

In Proceedings of the 7th Annual Learning for Dynamics & Control Conferencevol. 283, , pp. 1140–1153, 2025.

@inproceedings{pmlr-v283-he25a,
  title = {Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control},
  author = {He, Haonan and Qiu, Yuheng and Geng, Junyi},
  booktitle = {Proceedings of the 7th Annual Learning for Dynamics \& Control Conference},
  pages = {1140--1153},
  year = {2025},
  editor = {Ozay, Necmiye and Balzano, Laura and Panagou, Dimitra and Abate, Alessandro},
  volume = {283},
  series = {Proceedings of Machine Learning Research},
  month = {04--06 Jun},
  publisher = {PMLR},
  pdf = {https://raw.githubusercontent.com/mlresearch/v283/main/assets/he25a/he25a.pdf},
  url = {https://proceedings.mlr.press/v283/he25a.html}
}

Modeling and control of nonlinear dynamics are critical in robotics, especially in scenarios with unpredictable external influences and complex dynamics. Traditional cascaded modular control pipelines often yield suboptimal performance due to conservative assumptions and tedious parameter tuning. Pure data-driven approaches promise robust performance but suffer from low sample efficiency, sim-to-real gaps, and reliance on extensive datasets. Hybrid methods combining learning-based and traditional model-based control in an end-to-end manner offer a promising alternative. This work presents a self-supervised learning framework combining learning-based inertial odometry (IO) module and differentiable model predictive control (d-MPC) for Unmanned Aerial Vehicle (UAV) attitude control. The IO denoises raw IMU measurements and predicts UAV attitudes, which are then optimized by MPC for control actions in a bi-level optimization (BLO) setup, where the inner MPC optimizes control actions and the upper level minimizes discrepancy between real-world and predicted performance. The framework is thus end-to-end and can be trained in a self-supervised manner. This approach combines the strength of learning-based perception with the interpretable model-based control. Results show the effectiveness even under strong wind. It can simultaneously enhance both the MPC parameter learning and IMU prediction performance.

[3]

iKap: Kinematics-aware Planning with Imperative Learning.

By Li, Q., Chen, Z., Zheng, H., He, H., Su, S., Geng, J. and Wang, C.

In IEEE International Conference on Robotics and Automation (ICRA)2025.

@inproceedings{li2025ikap,
  title = {{iKap}: Kinematics-aware Planning with Imperative Learning},
  author = {Li, Qihang and Chen, Zhuoqun and Zheng, Haoze and He, Haonan and Su, Shaoshu and Geng, Junyi and Wang, Chen},
  booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
  year = {2025},
  url = {https://arxiv.org/abs/2412.09496},
  video = {https://youtu.be/7HPAMFbHc4U},
  website = {https://sairlab.org/iKap}
}

[4]

A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning.

By Jiang, Y., Zhan, Y., Gupta, H.V., Borde, C. and Geng, J.

In arXiv preprint arXiv:2504.04289, 2025.

@article{jiang2025self-arxiv,
  title = {A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning},
  author = {Jiang, Yufei and Zhan, Yuanzhu and Gupta, Harsh Vardhan and Borde, Chinmay and Geng, Junyi},
  booktitle = {arXiv preprint arXiv:2504.04289},
  year = {2025},
  eprint = {2504.04289},
  archiveprefix = {arXiv},
  primaryclass = {cs.RO},
  url = {https://arxiv.org/abs/2504.04289}
}

[5]

Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning.

By He, G., Guo, X., Tang, L., Zhang, Y., Mousaei, M., Xu, J., Geng, J., Scherer, S. and Shi, G.

In Robotics: Science and Systems, p. Accepted, 2025.

@article{he2025flying,
  title = {Flying Hand: End-Effector-Centric Framework for Versatile Aerial Manipulation Teleoperation and Policy Learning},
  author = {He, Guanqi and Guo, Xiaofeng and Tang, Luyi and Zhang, Yuanhang and Mousaei, Mohammadreza and Xu, Jiahe and Geng, Junyi and Scherer, Sebastian and Shi, Guanya},
  journal = {Robotics: Science and Systems},
  year = {2025},
  pages = {Accepted}
}

[6]

Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy.

By Wang, C., Ji, K., Geng, J., Ren, Z., Fu, T., Yang, F., Guo, Y., He, H., Chen, X., Zhan, Z. and others.

In International Journal of Robotics Research (IJRR), 2025.

@article{wang2025imperative,
  title = {Imperative Learning: A Self-supervised Neural-Symbolic Learning Framework for Robot Autonomy},
  author = {Wang, Chen and Ji, Kaiyi and Geng, Junyi and Ren, Zhongqiang and Fu, Taimeng and Yang, Fan and Guo, Yifan and He, Haonan and Chen, Xiangyu and Zhan, Zitong and others},
  journal = {International Journal of Robotics Research (IJRR)},
  url = {https://arxiv.org/abs/2406.16087},
  year = {2025}
}

2024

[1]

Flying Calligrapher: Contact-Aware Motion and Force Planning and Control for Aerial Manipulation.

By Guo, X., He, G., Xu, J., Mousaei, M., Geng, J., Scherer, S. and Shi, G.

In IEEE Robotics and Automation Letters (RA-L), vol. 9, no. 12, pp. 11194–11201, 2024.

@article{guo2024flying,
  title = {Flying Calligrapher: Contact-Aware Motion and Force Planning and Control for Aerial Manipulation},
  author = {Guo, Xiaofeng and He, Guanqi and Xu, Jiahe and Mousaei, Mohammadreza and Geng, Junyi and Scherer, Sebastian and Shi, Guanya},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = {9},
  number = {12},
  pages = {11194-11201},
  year = {2024},
  url = {https://arxiv.org/pdf/2407.05587},
  video = {https://www.youtube.com/watch?v=g5egNbtQCwA},
  publisher = {IEEE}
}

[2]

Aerial interaction with tactile sensing.

By Guo, X., He, G., Mousaei, M., Geng, J., Shi, G. and Scherer, S.

In 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 1576–1582, 2024.

@inproceedings{guo2024aerial,
  title = {Aerial interaction with tactile sensing},
  author = {Guo, Xiaofeng and He, Guanqi and Mousaei, Mohammadreza and Geng, Junyi and Shi, Guanya and Scherer, Sebastian},
  booktitle = {2024 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {1576--1582},
  url = {https://arxiv.org/pdf/2310.00142.pdf},
  year = {2024},
  organization = {IEEE}
}

[3]

A Unified MPC Strategy for a Tilt-rotor VTOL UAV Towards Seamless Mode Transitioning.

By Chen, Q., Hu, Z., Geng, J., Bai, D., Mousaei, M. and Scherer, S.

In AIAA SCITECH 2024 Forum, p. 2878, 2024.

@inproceedings{chen2024unified,
  title = {A Unified MPC Strategy for a Tilt-rotor VTOL UAV Towards Seamless Mode Transitioning},
  author = {Chen, Qizhao and Hu, Ziqi and Geng, Junyi and Bai, Dongwei and Mousaei, Mohammadreza and Scherer, Sebastian},
  booktitle = {AIAA SCITECH 2024 Forum},
  pages = {2878},
  url = {https://arxiv.org/pdf/2402.07375.pdf},
  year = {2024}
}

2023

[1]

Learning koopman operators with control using bi-level optimization.

By Huang, D., Prasetyo, M.B., Yu, Y. and Geng, J.

In 2023 62nd IEEE Conference on Decision and Control (CDC), pp. 2147–2152, 2023.

@inproceedings{huang2023learning,
  title = {Learning koopman operators with control using bi-level optimization},
  author = {Huang, Daning and Prasetyo, Muhammad Bayu and Yu, Yin and Geng, Junyi},
  booktitle = {2023 62nd IEEE Conference on Decision and Control (CDC)},
  pages = {2147--2152},
  year = {2023},
  url = {https://arxiv.org/pdf/2307.05884.pdf},
  organization = {IEEE}
}

[2]

Image-based visual servo control for aerial manipulation using a fully-actuated uav.

By He, G., Jangir, Y., Geng, J., Mousaei, M., Bai, D. and Scherer, S.

In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 5042–5049, 2023.

@inproceedings{he2023image,
  title = {Image-based visual servo control for aerial manipulation using a fully-actuated uav},
  author = {He, Guanqi and Jangir, Yash and Geng, Junyi and Mousaei, Mohammadreza and Bai, Dongwei and Scherer, Sebastian},
  booktitle = {2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {5042--5049},
  year = {2023},
  url = {https://arxiv.org/pdf/2306.16530.pdf},
  organization = {IEEE}
}

[3]

Hierarchical intention tracking for robust human-robot collaboration in industrial assembly tasks.

By Huang, Z., Mun, Y.-J., Li, X., Xie, Y., Zhong, N., Liang, W., Geng, J., Chen, T. and Driggs-Campbell, K.

In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 9821–9828, 2023.

@inproceedings{huang2023hierarchical,
  title = {Hierarchical intention tracking for robust human-robot collaboration in industrial assembly tasks},
  author = {Huang, Zhe and Mun, Ye-Ji and Li, Xiang and Xie, Yiqing and Zhong, Ninghan and Liang, Weihang and Geng, Junyi and Chen, Tan and Driggs-Campbell, Katherine},
  booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {9821--9828},
  url = {https://arxiv.org/pdf/2203.09063.pdf},
  year = {2023},
  organization = {IEEE}
}

[4]

Intention aware robot crowd navigation with attention-based interaction graph.

By Liu, S., Chang, P., Huang, Z., Chakraborty, N., Hong, K., Liang, W., McPherson, D.L., Geng, J. and Driggs-Campbell, K.

In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 12015–12021, 2023.

@inproceedings{liu2023intention,
  title = {Intention aware robot crowd navigation with attention-based interaction graph},
  author = {Liu, Shuijing and Chang, Peixin and Huang, Zhe and Chakraborty, Neeloy and Hong, Kaiwen and Liang, Weihang and McPherson, D Livingston and Geng, Junyi and Driggs-Campbell, Katherine},
  booktitle = {2023 IEEE International Conference on Robotics and Automation (ICRA)},
  pages = {12015--12021},
  url = {https://arxiv.org/pdf/2203.01821.pdf},
  year = {2023},
  organization = {IEEE}
}

[5]

Off-Policy Evaluation With Online Adaptation for Robot Exploration in Challenging Environments.

By Hu, Y., Geng, J., Wang, C., Keller, J. and Scherer, S.

In IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 6, pp. 3780–3787, 2023.

@article{hu2023off,
  title = {Off-Policy Evaluation With Online Adaptation for Robot Exploration in Challenging Environments},
  author = {Hu, Yafei and Geng, Junyi and Wang, Chen and Keller, John and Scherer, Sebastian},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = {8},
  number = {6},
  pages = {3780-3787},
  year = {2023},
  url = {https://arxiv.org/pdf/2204.03140.pdf},
  publisher = {IEEE}
}

[6]

PyPose: A Library for Robot Learning with Physics-based Optimization.

By Wang, C., Gao, D., Xu, K., Geng, J., Hu, Y., Qiu, Y., Li, B., Yang, F., Moon, B., Pandey, A. and others.

In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 22024–22034, 2023.

@inproceedings{wang2023pypose,
  title = {{PyPose}: A Library for Robot Learning with Physics-based Optimization},
  author = {Wang, Chen and Gao, Dasong and Xu, Kuan and Geng, Junyi and Hu, Yaoyu and Qiu, Yuheng and Li, Bowen and Yang, Fan and Moon, Brady and Pandey, Abhinav and others},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  pages = {22024--22034},
  url = {https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_PyPose_A_Library_for_Robot_Learning_With_Physics-Based_Optimization_CVPR_2023_paper.pdf},
  year = {2023}
}

[7]

UAS Simulator for Modeling, Analysis and Control in Free Flight and Physical Interaction.

By Keipour, A., Mousaei, M., Geng, J., Bai, D. and Scherer, S.

In AIAA SCITECH 2023 Forum, p. 1279, 2023.

@inproceedings{keipour2023uas,
  title = {UAS Simulator for Modeling, Analysis and Control in Free Flight and Physical Interaction},
  author = {Keipour, Azarakhsh and Mousaei, Mohammadreza and Geng, Junyi and Bai, Dongwei and Scherer, Sebastian},
  booktitle = {AIAA SCITECH 2023 Forum},
  pages = {1279},
  url = {https://arxiv.org/pdf/2212.02973.pdf},
  year = {2023}
}

2022

[1]

Robotic Depowdering for Additive Manufacturing Via Pose Tracking.

By Liu, Z., Geng, J., Dai, X., Swierzewski, T. and Shimada, K.

In IEEE Robotics and Automation Letters (RA-L), vol. 7, no. 4, pp. 10770–10777, 2022.

@article{liu2022robotic,
  title = {Robotic Depowdering for Additive Manufacturing Via Pose Tracking},
  author = {Liu, Zhenwei and Geng, Junyi and Dai, Xikai and Swierzewski, Tomasz and Shimada, Kenji},
  journal = {IEEE Robotics and Automation Letters (RA-L)},
  volume = {7},
  number = {4},
  pages = {10770--10777},
  year = {2022},
  url = {https://arxiv.org/pdf/2207.04196.pdf},
  video = {https://www.youtube.com/watch?v=AUIkyULAhqM},
  publisher = {IEEE}
}

[2]

VTOL Failure Detection and Recovery by Utilizing Redundancy.

By Mousaei, M., Keipour, A., Geng, J. and Scherer, S.

In 2022 IEEE International Conference on Robotics and Automation (ICRA) (workshop)2022.

@inproceedings{mousaei2022vtol,
  title = {VTOL Failure Detection and Recovery by Utilizing Redundancy},
  author = {Mousaei, Mohammadreza and Keipour, Azarakhsh and Geng, Junyi and Scherer, Sebastian},
  booktitle = {2022 IEEE International Conference on Robotics and Automation (ICRA) (workshop)},
  year = {2022},
  organization = {IEEE}
}

[3]

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration.

By Chen, T., Huang, Z., Motes, J., Geng, J., Ta, Q.M., Dinkel, H., Abdul-Rashid, H., Myers, J., Mun, Y.-J., Lin, W.-che and others.

In 2022 IEEE International Conference on Robotics and Automation (ICRA) (workshop)2022.

@inproceedings{chen2022insights,
  title = {Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration},
  author = {Chen, Tan and Huang, Zhe and Motes, James and Geng, Junyi and Ta, Quang Minh and Dinkel, Holly and Abdul-Rashid, Hameed and Myers, Jessica and Mun, Ye-Ji and Lin, Wei-che and others},
  booktitle = {2022 IEEE International Conference on Robotics and Automation (ICRA) (workshop)},
  year = {2022},
  organization = {IEEE}
}

[4]

Seamless interaction design with coexistence and cooperation modes for robust human-robot collaboration.

By Huang, Z., Mun, Y.-J., Li, X., Xie, Y., Zhong, N., Liang, W., Geng, J., Chen, T. and Driggs-Campbell, K.

In arXiv preprint arXiv:2206.01775, 2022.

@article{huang2022seamless,
  title = {Seamless interaction design with coexistence and cooperation modes for robust human-robot collaboration},
  author = {Huang, Zhe and Mun, Ye-Ji and Li, Xiang and Xie, Yiqing and Zhong, Ninghan and Liang, Weihang and Geng, Junyi and Chen, Tan and Driggs-Campbell, Katherine},
  journal = {arXiv preprint arXiv:2206.01775},
  url = {https://arxiv.org/pdf/2206.01775.pdf},
  year = {2022}
}

[5]

Design, Modeling and Control for a Tilt-rotor VTOL UAV in the Presence of Actuator Failure.

By Mousaei, M., Geng, J., Keipour, A., Bai, D. and Scherer, S.

In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4310–4317, 2022.

@inproceedings{mousaei2022design,
  url = {https://arxiv.org/pdf/2205.05533.pdf},
  video = {https://www.youtube.com/watch?v=hrlpgeTy-0g},
  title = {Design, Modeling and Control for a Tilt-rotor VTOL UAV in the Presence of Actuator Failure},
  author = {Mousaei, Mohammadreza and Geng, Junyi and Keipour, Azarakhsh and Bai, Dongwei and Scherer, Sebastian},
  booktitle = {2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {4310--4317},
  year = {2022},
  organization = {IEEE}
}

[6]

Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty.

By Ji, T., Geng, J. and Driggs-Campbell, K.

In 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 1782–1789, 2022.

@inproceedings{ji2022robust,
  title = {Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty},
  author = {Ji, Tianchen and Geng, Junyi and Driggs-Campbell, Katherine},
  booktitle = {2022 IEEE 61st Conference on Decision and Control (CDC)},
  pages = {1782--1789},
  year = {2022},
  url = {https://arxiv.org/pdf/2008.04980v4.pdf},
  organization = {IEEE}
}

[7]

iCaps: Iterative category-level object pose and shape estimation.

By Deng, X., Geng, J., Bretl, T., Xiang, Y. and Fox, D.

In IEEE Robotics and Automation Letters, vol. 7, no. 2, pp. 1784–1791, 2022.

@article{deng2022icaps,
  title = {iCaps: Iterative category-level object pose and shape estimation},
  author = {Deng, Xinke and Geng, Junyi and Bretl, Timothy and Xiang, Yu and Fox, Dieter},
  journal = {IEEE Robotics and Automation Letters},
  volume = {7},
  number = {2},
  pages = {1784--1791},
  year = {2022},
  url = {https://arxiv.org/pdf/2201.00059.pdf},
  video = {https://www.youtube.com/watch?v=3AMcM3uUaUw},
  publisher = {IEEE}
}

[8]

Load-Distribution-Based Trajectory Planning and Control for a Multilift System.

By Geng, J., Singla, P. and Langelaan, J.W.

In Journal of Aerospace Information Systems, vol. 19, no. 5, pp. 366–381, 2022.

@article{geng2022load,
  title = {Load-Distribution-Based Trajectory Planning and Control for a Multilift System},
  author = {Geng, Junyi and Singla, Puneet and Langelaan, Jack W},
  journal = {Journal of Aerospace Information Systems},
  volume = {19},
  number = {5},
  pages = {366--381},
  year = {2022},
  url = {https://www.researchgate.net/publication/358540209_Trajectory_Planning_and_Control_for_a_Multilift_System_Based_on_Load_Distribution},
  publisher = {American Institute of Aeronautics and Astronautics}
}

2021

[1]

Estimation of Inertial Properties for a Multilift Slung Load.

By Geng, J. and Langelaan, J.W.

In Journal of Guidance, Control, and Dynamics, vol. 44, no. 2, pp. 220–237, 2021.

@article{geng2021estimation,
  title = {Estimation of Inertial Properties for a Multilift Slung Load},
  author = {Geng, Junyi and Langelaan, Jack W},
  journal = {Journal of Guidance, Control, and Dynamics},
  volume = {44},
  number = {2},
  pages = {220--237},
  year = {2021},
  url = {https://www.researchgate.net/publication/346223126_Estimation_of_Inertial_Properties_for_a_Multilift_Slung_Load},
  publisher = {American Institute of Aeronautics and Astronautics}
}

[2]

Trajectory planning and control for a multilift system based on load distribution.

By Geng, J., Singla, P. and Langelaan, J.W.

In AIAA Scitech 2021 Forum, p. 0980, 2021.

@inproceedings{geng2021trajectory,
  title = {Trajectory planning and control for a multilift system based on load distribution},
  author = {Geng, Junyi and Singla, Puneet and Langelaan, Jack W},
  booktitle = {AIAA Scitech 2021 Forum},
  pages = {0980},
  url = {https://www.researchgate.net/publication/348240536_Trajectory_Planning_and_Control_for_a_Multilift_System_Based_on_Load_Distribution},
  year = {2021}
}

2020

[1]

Bio-inspired inverted landing strategy in a small aerial robot using policy gradient.

By Liu, P., Geng, J., Li, Y., Cao, Y., Bayiz, Y.E., Langelaan, J.W. and Cheng, B.

In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7772–7777, 2020.

@inproceedings{liu2020bio,
  title = {Bio-inspired inverted landing strategy in a small aerial robot using policy gradient},
  author = {Liu, Pan and Geng, Junyi and Li, Yixian and Cao, Yanran and Bayiz, Yagiz E and Langelaan, Jack W and Cheng, Bo},
  booktitle = {2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
  pages = {7772--7777},
  year = {2020},
  url = {https://www.researchgate.net/publication/349281233_Bio-inspired_Inverted_Landing_Strategy_in_a_Small_Aerial_Robot_Using_Policy_Gradient},
  organization = {IEEE}
}

[2]

Cooperative transport of a slung load using load-leading control.

By Geng, J. and Langelaan, J.W.

In Journal of Guidance, Control, and Dynamics, vol. 43, no. 7, pp. 1313–1331, 2020.

@article{geng2020cooperative,
  title = {Cooperative transport of a slung load using load-leading control},
  author = {Geng, Junyi and Langelaan, Jack W},
  journal = {Journal of Guidance, Control, and Dynamics},
  volume = {43},
  number = {7},
  pages = {1313--1331},
  year = {2020},
  url = {https://www.researchgate.net/publication/339661598_Cooperative_Transport_of_a_Slung_Load_Using_Load-Leading_Control},
  publisher = {American Institute of Aeronautics and Astronautics}
}

[3]

Efficient and interpretable deep blind image deblurring via algorithm unrolling.

By Li, Y., Tofighi, M., Geng, J., Monga, V. and Eldar, Y.C.

In IEEE Transactions on Computational Imaging, vol. 6, pp. 666–681, 2020.

@article{li2020efficient,
  title = {Efficient and interpretable deep blind image deblurring via algorithm unrolling},
  author = {Li, Yuelong and Tofighi, Mohammad and Geng, Junyi and Monga, Vishal and Eldar, Yonina C},
  journal = {IEEE Transactions on Computational Imaging},
  volume = {6},
  pages = {666--681},
  year = {2020},
  url = {https://arxiv.org/pdf/1902.03493.pdf},
  publisher = {IEEE}
}

[4]

Mass and Center of Mass Location Estimation for a Multi-lift Slung Load.

By Geng, J. and Langelaan, J.W.

In AIAA SciTech 2020 Forum, p. 2067, 2020.

@inproceedings{geng2020mass,
  title = {Mass and Center of Mass Location Estimation for a Multi-lift Slung Load},
  author = {Geng, Junyi and Langelaan, Jack W},
  booktitle = {AIAA SciTech 2020 Forum},
  pages = {2067},
  url = {https://www.researchgate.net/publication/338399966_Mass_and_Center_of_Mass_Location_Estimation_for_a_Multi-lift_Slung_Load},
  year = {2020}
}

2019

[1]

Implementation and demonstration of coordinated transport of a slung load by a team of rotorcraft.

By Geng, J. and Langelaan, J.W.

In AIAA Scitech 2019 Forum, p. 0913, 2019.

@inproceedings{geng2019implementation,
  title = {Implementation and demonstration of coordinated transport of a slung load by a team of rotorcraft},
  author = {Geng, Junyi and Langelaan, Jack W},
  booktitle = {AIAA Scitech 2019 Forum},
  pages = {0913},
  url = {https://www.researchgate.net/publication/330198639_Implementation_And_Demonstration_Of_Coordinated_Transport_Of_A_Slung_Load_By_A_Team_Of_Rotorcraft},
  year = {2019}
}

2017

[1]

A Quasi Polar Local Occupancy Grid Approach for Vision-based Obstacle Avoidance.

By Geng, J. and Langelaan, J.W.

In AIAA Guidance, Navigation, and Control Conference, p. 1907, 2017.

@inproceedings{geng2017quasi,
  title = {A Quasi Polar Local Occupancy Grid Approach for Vision-based Obstacle Avoidance},
  author = {Geng, Junyi and Langelaan, Jack W},
  booktitle = {AIAA Guidance, Navigation, and Control Conference},
  pages = {1907},
  url = {https://www.researchgate.net/publication/312267883_A_Quasi_Polar_Local_Occupancy_Grid_Approach_for_Vision-based_Obstacle_Avoidance},
  year = {2017}
}