Projects per year
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Dive into the research topics where Junyi Geng is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 2 Active
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CAREER: Dexterous Aerial Manipulation in the Wild via Physics-infused Intelligence
Geng, J. (PI)
4/1/26 → 3/31/31
Project: Research project
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CAREER: Dexterous Aerial Manipulation in the Wild via Physics-infused Intelligence
Geng, J. (PI)
4/1/26 → 3/31/31
Project: Research project
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Distributed State Estimation for Vision-based Cooperative Slung Load Transportation in GPS-denied Environments
Pence, J., Fezell, J., Langelaan, J. W. & Geng, J., 2026, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments
Zhang, Y. & Geng, J., 2026, AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026. American Institute of Aeronautics and Astronautics Inc, AIAA, (AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2026).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
AirIO: Learning Inertial Odometry With Enhanced IMU Feature Observability
Qiu, Y., Xu, C., Chen, Y., Zhao, S., Geng, J. & Scherer, S., 2025, In: IEEE Robotics and Automation Letters. 10, 9, p. 9368-9375 8 p.Research output: Contribution to journal › Article › peer-review
3 Link opens in a new tab Scopus citations -
IKap: Kinematics-Aware Planning with Imperative Learning
Li, Q., Chen, Z., Zheng, H., He, H., Zhan, Z., Su, S., Geng, J. & Wang, C., 2025, 2025 IEEE International Conference on Robotics and Automation, ICRA 2025. Ott, C., Admoni, H., Behnke, S., Bogdan, S., Bolopion, A., Choi, Y., Ficuciello, F., Gans, N., Gosselin, C., Harada, K., Kayacan, E., Kim, H. J., Leutenegger, S., Liu, Z., Maiolino, P., Marques, L., Matsubara, T., Mavromatti, A., Minor, M., O'Kane, J., Park, H. W., Park, H.-W., Rekleitis, I., Renda, F., Ricci, E., Riek, L. D., Sabattini, L., Shen, S., Sun, Y., Wieber, P.-B., Yamane, K. & Yu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 10164-10170 7 p. (Proceedings - IEEE International Conference on Robotics and Automation).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
2 Link opens in a new tab Scopus citations -
Imperative learning: A self-supervised neuro-symbolic learning framework for robot autonomy
Wang, C., Ji, K., Geng, J., Ren, Z., Fu, T., Yang, F., Guo, Y., He, H., Chen, X., Zhan, Z., Du, Q., Su, S., Li, B., Qiu, Y., Du, Y., Li, Q., Yang, Y., Lin, X. & Zhao, Z., 2025, (Accepted/In press) In: International Journal of Robotics Research. 02783649251353181.Research output: Contribution to journal › Article › peer-review
Open Access8 Link opens in a new tab Scopus citations