6 citations · 7 across the 17 of their papers we have counts for
17 papers
Static Timing Orchestration for Tree-Structured Robot Control Firmware
Wang Xi, Feiran Wei, Mo Deng +3
As robotic systems become increasingly complex, generating control firmware from structural description files has emerged as a promising paradigm for reducing development complexit…
BridgeFlow: Fast and Robust SE(2)-Equivariant Motion Planning with Flow Matching
Xinzhe Zhou, Xuyang Wang, Xiaoming Duan +1
In robotic motion planning, equivariance to rigid body transformations is crucial for robust spatial generalization. However, current learning-based planners face a critical dilemm…
Multiplayer Reach-Avoid Differential Games with Defender-Side Information Delay
Zehua Zhao, Rui Yan, Jianping He +1
We consider a class of pursuit-evasion games in which multiple defenders and attackers move in the plane with bounded speeds, while each defender observes the states of other agent…
Minimizing Worst-Case Weighted Latency for Multi-Robot Persistent Monitoring: Theory and RL-Based Solutions
Weizhen Wang, Ziheng Wang, Jianping He +2
We study multi-robot persistent monitoring on weighted graphs, where node weights encode monitoring priorities and edge weights encode travel distances. The goal is to design joint…
Optimal Unpredictable Control for Linear Systems
Chendi Qu, Jianping He, Jialun Li +1
In this paper, we investigate how to achieve the unpredictability against malicious inferences for linear systems. The key idea is to add stochastic control inputs, named as unpred…
Pursuit-Evasion Between a Velocity-Constrained Double-Integrator Pursuer and a Single-Integrator Evader
Zehua Zhao, Rui Yan, Jianping He +2
We study a pursuit-evasion game between a double integrator-driven pursuer with bounded velocity and bounded acceleration and a single integrator-driven evader with bounded velocit…
Formation Maneuver Control Based on the Augmented Laplacian Method
Xinzhe Zhou, Xuyang Wang, Xiaoming Duan +2
This paper proposes a novel formation maneuver control method for both 2-D and 3-D space, which enables the formation to translate, scale, and rotate with arbitrary orientation. Th…
Analysis of On-policy Policy Gradient Methods under the Distribution Mismatch
Weizhen Wang, Jianping He, Xinzhe Zhou +1
Policy gradient methods are among the most successful approaches for solving challenging reinforcement learning problems. Despite their empirical success, many state-of-the-art pol…
3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems
Chendi Qu, Jianping He, Xiaoming Duan
This paper addresses the Direct Data-Driven Inverse Optimal Control (3DIOC) problem for linear time-invariant (LTI) systems under the linear quadratic (LQ) control. Unlike traditio…
Stochastic Trajectory Optimization for Robotic Skill Acquisition From a Suboptimal Demonstration
Chenlin Ming, Zitong Wang, Boxuan Zhang +3
Learning from Demonstration (LfD) has emerged as a crucial method for robots to acquire new skills. However, when given suboptimal task trajectory demonstrations with shape charact…
Observation-based Optimal Control Law Learning with LQR Reconstruction
Chendi Qu, Jianping He, Xiaoming Duan
Designing controllers to generate various trajectories has been studied for years, while recently, recovering an optimal controller from trajectories receives increasing attention.…
Model Selection for Inverse Reinforcement Learning via Structural Risk Minimization
Chendi Qu, Jianping He, Xiaoming Duan +1
Inverse reinforcement learning (IRL) usually assumes the reward function model is pre-specified as a weighted sum of features and estimates the weighting parameters only. However,…
HiCRISP: An LLM-based Hierarchical Closed-Loop Robotic Intelligent Self-Correction Planner
Chenlin Ming, Jiacheng Lin, Pangkit Fong +3
The integration of Large Language Models (LLMs) into robotics has revolutionized human-robot interactions and autonomous task planning. However, these systems are often unable to s…
Affordance-Driven Next-Best-View Planning for Robotic Grasping
Xuechao Zhang, Dong Wang, Sun Han +7
Grasping occluded objects in cluttered environments is an essential component in complex robotic manipulation tasks. In this paper, we introduce an AffordanCE-driven Next-Best-View…
Control Input Inference of Mobile Agents under Unknown Objective
Chendi Qu, Jianping He, Xiaoming Duan +1
Trajectory and control secrecy is an important issue in robotics security. This paper proposes a novel algorithm for the control input inference of a mobile agent without knowing i…
Revisiting Estimation Bias in Policy Gradients for Deep Reinforcement Learning
Haoxuan Pan, Deheng Ye, Xiaoming Duan +4
We revisit the estimation bias in policy gradients for the discounted episodic Markov decision process (MDP) from Deep Reinforcement Learning (DRL) perspective. The objective is fo…
Learning-Based Motion Planning with Mixture Density Networks
Yinghan Wang, Xiaoming Duan, Jianping He
The trade-off between computation time and path optimality is a key consideration in motion planning algorithms. While classical sampling based algorithms fall short of computation…