13 citations · 15 across the 5 of their papers we have counts for
6 papers · 1 filter
OATH: Object-Agnostic Tracking for Dexterous Hands, Enabling Rapid Physics-based Retargeting
Solvin Sigurdson, Prasanna Sriganesh, Juan Borbon +3
Retargeting human demonstrations into dynamically feasible dexterous hand trajectories requires resolving complex contact physics, yet current methods either omit physical constrai…
Interpreting Control Latents for System Identification via Conditional Flow Matching
Dingqi Zhang, Ruiqi Zhang, Mark W. Mueller
Latent-conditioned adaptive policies can control robots across changing dynamics, but their learned latents remain internal representations of the policy rather than physical model…
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…
ProxFly: Robust Control for Close Proximity Quadcopter Flight via Residual Reinforcement Learning
Ruiqi Zhang, Dingqi Zhang, Mark W. Mueller
This paper proposes the ProxFly, a residual deep Reinforcement Learning (RL)-based controller for close proximity quadcopter flight. Specifically, we design a residual module on to…
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…
Learning a Single Near-hover Position Controller for Vastly Different Quadcopters
Dingqi Zhang, Antonio Loquercio, Xiangyu Wu +3
This paper proposes an adaptive near-hover position controller for quadcopters, which can be deployed to quadcopters of very different mass, size and motor constants, and also show…