83 citations · 85 across the 8 of their papers we have counts for
7 papers · 1 filter
Toward the Cognitive--Physical Limits of Embodied Intelligence through a World-Model-Centric Autonomous Racing Agent
Zitong Shan, Baichuan Lou, Yanxin Zhou +8
Embodied artificial intelligence aims to develop agents that perceive, reason, and act through continuous interaction with the physical world. However, most embodied systems are st…
A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction
Marvin Klemp, Dominic Ebner, Cornelius Schröder +15
In autonomous driving development, a perception dataset is crucial, as it provides fundamental data for training, testing, and validating algorithms for an autonomous vehicle's mul…
Adaptive Manipulation Potential and Haptic Estimation for Tool-Mediated Interaction
Lin Yang, Anirvan Dutta, Yuan Ji +5
Achieving human-level dexterity in contact-rich, tool-mediated manipulation remains a significant challenge due to visual occlusion and the underdetermined nature of haptic sensing…
C2TE: Coordinated Constrained Task Execution Design for Ordering-Flexible Multi-Vehicle Platoon Merging
Bin-Bin Hu, Yanxin Zhou, Henglai Wei +2
In this paper, we propose a distributed coordinated constrained task execution (C2TE) algorithm that enables a team of vehicles from different lanes to cooperatively merge into an…
Concurrent-Allocation Task Execution for Multi-Robot Path-Crossing-Minimal Navigation in Obstacle Environments
Bin-Bin Hu, Weijia Yao, Yanxin Zhou +2
Reducing undesirable path crossings among trajectories of different robots is vital in multi-robot navigation missions, which not only reduces detours and conflict scenarios, but a…
Ordering-Flexible Multi-Robot Coordination for MovingTarget Convoying Using Long-TermTask Execution
Bin-Bin Hu, Yanxin Zhou, Henglai Wei +2
In this paper, we propose a cooperative long-term task execution (LTTE) algorithm for protecting a moving target into the interior of an ordering-flexible convex hull by a team of…
Goal-Guided Transformer-Enabled Reinforcement Learning for Efficient Autonomous Navigation
Wenhui Huang, Yanxin Zhou, Xiangkun He +1
Despite some successful applications of goal-driven navigation, existing deep reinforcement learning (DRL)-based approaches notoriously suffers from poor data efficiency issue. One…