6 citations · 7 across the 17 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…