1 citations · 1 across the 21 of their papers we have counts for
22 papers
Memory-Native Non-Terrestrial Networks for Embodied Intelligence
Chengyang Li, Yikun Wang, Jiahui He +6
Non-terrestrial networks (NTN) provide ubiquitous connectivity for embodied intelligence (EI), enabling robots in the wilderness to leverage cloud resources or report critical info…
Bridging Large-Model Reasoning and Real-Time Control via Agentic Fast-Slow Planning
Jiayi Chen, Shuai Wang, Guangxu Zhu +1
Large foundation models enable powerful reasoning for autonomous systems, but mapping semantic intent to reliable real-time control remains challenging. Existing approaches either…
Direct Contact-Tolerant Motion Planning With Vision Language Models
He Li, Jian Sun, Chengyang Li +4
Navigation in cluttered environments often requires robots to tolerate contact with movable or deformable objects to maintain efficiency. Existing contact-tolerant motion planning…
Agentic Self-Evolutionary Replanning for Embodied Navigation
Guoliang Li, Ruihua Han, Chengyang Li +5
Failure is inevitable for embodied navigation in complex environments. To enhance the resilience, replanning (RP) is a viable option, where the robot is allowed to fail, but is cap…
REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation
Shuqi Xiao, Maani Ghaffari, Chengzhong Xu +1
Zero-shot object-goal navigation (ZSON) requires navigating unknown environments to find a target object without task-specific training. Prior hierarchical solutions mainly focus o…
LLM-Driven Scenario-Aware Planning for Autonomous Driving
He Li, Zhaowei Chen, Rui Gao +4
Hybrid planner switching framework (HPSF) for autonomous driving needs to reconcile high-speed driving efficiency with safe maneuvering in dense traffic. Existing HPSF methods ofte…