7 papers
LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies
Sangli Teng, Ruiqi Zhang, Tzu-Yuan Lin +5
Designing dynamically feasible trajectories for rigid bodies is a fundamental problem in robotics. While direct methods are widely used, the existing constrained optimizers typical…
Synthesizing Interpretable Control Policies through Large Language Model Guided Search
Carlo Bosio, Mark W. Mueller
The combination of Large Language Models (LLMs), systematic evaluation, and evolutionary algorithms has enabled breakthroughs in combinatorial optimization and scientific discovery…
Automated Layout and Control Co-Design of Robust Multi-UAV Transportation Systems
Carlo Bosio, Mark W. Mueller
The joint optimization of physical parameters and controllers in robotic systems is challenging. This is due to the difficulties of predicting the effect that changes in physical p…
A Simulation Evaluation Suite for Robust Adaptive Quadcopter Control
Dingqi Zhang, Ran Tao, Sheng Cheng +2
Robust adaptive control methods are essential for maintaining quadcopter performance under external disturbances and model uncertainties. However, fragmented evaluations across tas…
A Learning-based Quadcopter Controller with Extreme Adaptation
Dingqi Zhang, Antonio Loquercio, Jerry Tang +3
This paper introduces a learning-based low-level controller for quadcopters, which adaptively controls quadcopters with significant variations in mass, size, and actuator capabilit…
Duawlfin: A Drone with Unified Actuation for Wheeled Locomotion and Flight Operation
Jerry Tang, Ruiqi Zhang, Kaan Beyduz +5
This paper presents Duawlfin, a drone with unified actuation for wheeled locomotion and flight operation that achieves efficient, bidirectional ground mobility. Unlike existing hyb…