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Chunxin Zheng

7 accepted papers

2026

A Reconfigured Wheel-Legged Robot for Enhanced Steering and Adaptability

RA-L 2026

Wheel-legged robots integrate leg agility on rough terrain with wheel efficiency on flat ground. However, most existing designs do not fully capitalize on the benefits of both legged and wheeled structures, which limits overall system flexibility and efficiency. We present FLORES, a novel wheel-legg

Cited by 1SourcecodeScholar
2026

Embracing Bulky Objects with Humanoid Robots: Whole-Body Manipulation with Reinforcement Learning

ICRA 2026poster

Whole-body manipulation (WBM) for humanoid robots presents a promising approach for executing embracing tasks involving bulky objects, where traditional grasping relying on end-effectors only remains limited in such scenarios due to inherent stability and payload constraints. This paper introduces a…

2025

FRTree Planner: Robot Navigation in Cluttered and Unknown Environments With Tree of Free Regions

RA-L 2025

In this work, we present FRTree planner, a novel robot navigation framework that leverages a tree structure of free regions, specifically designed for navigation in cluttered and unknown environments with narrow passages. The framework continuously incorporates real-time perceptive information to id

Cited by 6SourceScholar
2025

Interactive Navigation for Legged Manipulators with Learned Arm-Pushing Controller

IROS 2025

Interactive navigation is crucial in scenarios where proactively interacting with objects can yield shorter paths, thus significantly improving traversal efficiency. Existing methods primarily focus on using the robot body to relocate obstacles during navigation. However, they prove ineffective in n

Cited by 5SourcecodeScholar
2025

Local Reactive Control for Mobile Manipulators With Whole-Body Safety in Complex Environments

RA-L 2025

Mobile manipulators typically encounter significant challenges in navigating narrow, cluttered environments due to their high-dimensional state spaces and complex kinematics. While reactive methods excel in dynamic settings, they struggle to efficiently incorporate complex, coupled constraints acros

Cited by 5SourceScholar
2024

Collision-Free Trajectory Optimization in Cluttered Environments Using Sums-of-Squares Programming

RA-L 2024

In this work, we propose a trajectory optimization approach for robot navigation in cluttered 3D environments. We represent the robot's geometry as a semialgebraic set defined by polynomial inequalities such that robots with general shapes can be suitably characterized. We exploit the collision-free

Cited by 12SourcecodeScholar
2024

Geometry-Aware Safety-Critical Local Reactive Controller for Robot Navigation in Unknown and Cluttered Environments

RA-L 2024

This work proposes a safety-critical local reactive controller that enables the robot to navigate in unknown and cluttered environments. In particular, the trajectory tracking task is formulated as a constrained polynomial optimization problem. Then, safety constraints are imposed on the control var

Cited by 13SourceScholar