9 papers
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models
Haotian Xue, Yipu Chen, Liqian Ma +4
Action-conditioned world models (ACWMs) have shown strong promise for video prediction and decision-making. However, existing benchmarks are largely restricted to egocentric naviga…
Feedback Motion Planning for Stochastic Nonlinear Systems with Signal Temporal Logic Specifications
Liqian Ma, Zishun Liu, Glen Chou +1
We study feedback motion planning for continuous-time stochastic nonlinear systems under signal temporal logic (STL) specifications. We propose a framework that synthesizes control…
Concentration of Stochastic System Trajectories with Time-varying Contraction Conditions
Zishun Liu, Liqian Ma, Hongzhe Yu +1
We establish two concentration inequalities for nonlinear stochastic system under time-varying contraction conditions. The key to our approach is an energy function termed Averaged…
Generalizable Domain Adaptation for Sim-and-Real Policy Co-Training
Shuo Cheng, Liqian Ma, Zhenyang Chen +3
Behavior cloning has shown promise for robot manipulation, but real-world demonstrations are costly to acquire at scale. While simulated data offers a scalable alternative, particu…
Model Predictive Control with High-Probability Safety Guarantee for Nonlinear Stochastic Systems
Zishun Liu, Liqian Ma, Yongxin Chen
We present a model predictive control (MPC) framework for nonlinear stochastic systems that ensures safety guarantee with high probability. Unlike most existing stochastic MPC sche…
DexSim2Real: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation
Taoran Jiang, Yixuan Guan, Liqian Ma +7
Articulated objects are ubiquitous in daily life. In this paper, we present DexSim2Real, a novel framework for goal-conditioned articulated object manipulation. The core of o…