1 citations · 1 across the 8 of their papers we have counts for
7 papers · 1 filter
Humanoid Mobility via Attention-based Contacts
Junzhe He, Kehan Wen, Chong Zhang +7
Humanoid mobility over complex terrain requires accurate foot placement and coordinated whole-body motion capable of robust adaptation. Reinforcement learning (RL) policies trained…
SE(2) Navigation Mesh
Shuyang Shi, Kaixian Qu, Changan Chen +3
Global navigation for ground robots in complex multi-level environments requires representations that accurately capture traversable regions while enabling efficient path planning.…
An Efficient Beam Search Algorithm for Active Perception in Mobile Robotics
Kaixian Qu, Han Wang, Victor Klemm +2
Active perception is a fundamental problem in autonomous robotics in which the robot must decide where to move and what to sense in order to obtain the most informative observation…
A Pragmatist Robot: Learning to Plan Tasks by Experiencing the Real World
Kaixian Qu, Guowei Lan, René Zurbrügg +4
Large language models (LLMs) have emerged as the dominant paradigm for robotic task planning using natural language instructions. However, trained on general internet data, LLMs ar…
Learning Accurate Whole-body Throwing with High-frequency Residual Policy and Pullback Tube Acceleration
Yuntao Ma, Yang Liu, Kaixian Qu +1
Throwing is a fundamental skill that enables robots to manipulate objects in ways that extend beyond the reach of their arms. We present a control framework that combines learning…
IPPON: Common Sense Guided Informative Path Planning for Object Goal Navigation
Kaixian Qu, Jie Tan, Tingnan Zhang +3
Navigating efficiently to an object in an unexplored environment is a critical skill for general-purpose intelligent robots. Recent approaches to this object goal navigation proble…
Tag Map: A Text-Based Map for Spatial Reasoning and Navigation with Large Language Models
Mike Zhang, Kaixian Qu, Vaishakh Patil +2
Large Language Models (LLM) have emerged as a tool for robots to generate task plans using common sense reasoning. For the LLM to generate actionable plans, scene context must be p…