24 citations · 43 across the 8 of their papers we have counts for
9 papers
CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination
Jiyue Tao, Shunheng Xin, Tongsheng Shen +2
Decentralized multi-robot coordination under partial observability remains challenging, especially when agents act solely on local sensing without communication. Privileged policy…
ST-Booster: An Iterative SpatioTemporal Perception Booster for Vision-and-Language Navigation in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie +2
Vision-and-Language Navigation in Continuous Environments (VLN-CE) requires agents to navigate unknown, continuous spaces based on natural language instructions. Compared to discre…
Bioinspired Sensing of Undulatory Flow Fields Generated by Leg Kicks in Swimming
Jun Wang, Tongsheng Shen, Dexin Zhao +1
The artificial lateral line (ALL) is a bioinspired flow sensing system for underwater robots, comprising of distributed flow sensors. The ALL has been successfully applied to detec…
Design, Dynamic Modeling and Control of a 2-DOF Robotic Wrist Actuated by Twisted and Coiled Actuators
Yunsong Zhang, Xinyu Zhou, Feitian Zhang
Artificial muscle-driven modular soft robots exhibit significant potential for executing complex tasks. However, their broader applicability remains constrained by the lack of dyna…
ARBoids: Adaptive Residual Reinforcement Learning With Boids Model for Cooperative Multi-USV Target Defense
Jiyue Tao, Tongsheng Shen, Dexin Zhao +1
The target defense problem (TDP) for unmanned surface vehicles (USVs) concerns intercepting an adversarial USV before it breaches a designated target region, using one or more defe…
An Efficient Learning Control Framework With Sim-to-Real for String-Type Artificial Muscle-Driven Robotic Systems
Jiyue Tao, Yunsong Zhang, Sunil Kumar Rajendran +1
Robotic systems driven by artificial muscles present unique challenges due to the nonlinear dynamics of actuators and the complex designs of mechanical structures. Traditional mode…
TDANet: Target-Directed Attention Network For Object-Goal Visual Navigation With Zero-Shot Ability
Shiwei Lian, Feitian Zhang
The generalization of the end-to-end deep reinforcement learning (DRL) for object-goal visual navigation is a long-standing challenge since object classes and placements vary in ne…
Estimating the Lateral Motion States of an Underwater Robot by Propeller Wake Sensing Using an Artificial Lateral Line
Jun Wang, Dexin Zhao, Youxi Zhao +2
The artificial lateral line (ALL), comprising distributed flow sensors, has been successful in sensing motion states of bioinspired underwater robots like robotic fish. However, it…
Safe-VLN: Collision Avoidance for Vision-and-Language Navigation of Autonomous Robots Operating in Continuous Environments
Lu Yue, Dongliang Zhou, Liang Xie +3
The task of vision-and-language navigation in continuous environments (VLN-CE) aims at training an autonomous agent to perform low-level actions to navigate through 3D continuous s…