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Guoteng Zhang

14 accepted papers

2025

ALARM: Safe Reinforcement Learning With Reliable Mimicry for Robust Legged Locomotion

RA-L 2025

Legged robots are supposed to traverse complicated environments, which makes it challenging to design a model-based controller due to their functional complexity. Currently, using deep reinforcement learning to improve the adaptability of robots in complex scenarios has been a major research trend.

Cited by 3SourceScholar
2025

An Online Terrain Classification Framework for Legged Robots Based on Fusion of Proprioceptive and Exteroceptive Sensors

IROS 2025

Terrain classification is crucial for assessing terrain traversability and supporting locomotion control of legged robots. By integrating multi-source sensor information, including exteroceptive sensors and proprioceptive sensors, legged robots can acquire terrain geometric features and surface cove

Cited by 0SourceScholar
2025

GHO-WBC: A Gradient-Based Hierarchical Kinematic Optimization Approach to Enhance the Reachability of a Humanoid Robot

IROS 2025

Humanoid robots are vital tools for substituting humans in various operational scenarios. A sufficiently large stationary reachability is a key factor in ensuring their operational capability. To address this challenge, this paper proposes a whole-body reachability enhancing approach for humanoid ro

Cited by 0SourceScholar
2024

Magnetic Wall-Climbing Wheels With Controllable Adhesion Reduction via Soft Magnetic Material

RA-L 2024

With the aging of critical infrastructure like bridges and plant facilities, the development of innovative wall-climbing robots using permanent magnets has become increasingly important. Traditional designs of such robots depend on controlling the position of lifters or permanent magnets to control

Cited by 2SourceScholar
2023

Proprioceptive-Based Whole-Body Disturbance Rejection Control for Dynamic Motions in Legged Robots

RA-L 2023

This letter presents a control framework for legged robots that enables self-perception and resistance to external disturbances. First, a novel proprioceptive-based disturbance estimator is proposed. Compared with other disturbance estimators, this estimator possesses notable advantages in terms of

Cited by 17SourceScholar
2022

Design and Control of a Novel Leg-Arm Multiplexing Mobile Operational Hexapod Robot

RA-L 2022

A novel legged robot with 6 limbs driven by 20 proprioceptive motors, named SDUHex, is proposed in this letter. The limbs located at the middle of the robot can work as manipulators or locomotors. The topology design of the multi-mode robot is introduced and the kinematics and dynamics of the robot

Cited by 29SourceScholar
2020

Contact Force Estimation and Regulation of a Position-controlled Floating Base System without Joint Torque Information

IROS 2020poster

A floating base system is inevitably to contact the environment while it is moving. This paper explores the contact force estimation and regulation algorithm for a position-controlled floating base system without joint torque information. First, the joint space dynamic model of the system is present…

Cited by 4SourceScholar
2020

Locomotion Performance of a Configurable Paddle-Wheel Robot over Dry Sandy Terrain

IROS 2020poster

To access rough terrain and enhance the mobility in sandy terrain, a configurable paddle-wheel robot was pro-posed. This report addresses the paddle terradynamics, and the experimental verification of the locomotion performance of the robot over dry sandy terrain. To study the interactive forces bet…

Cited by 0SourceScholar
2018

Development of a Wheel-Paddle Integrated Quadruped Robot for Rough Terrain and its Verification on Hybrid Mode

RA-L 2018

To enhance the motion performance of all-terrain robots, an eccentric paddle mechanism (ePaddle) based on planet gear mechanism was designed. This letter is on the design, control scheme, and implementation of a wheel-paddle integrated quadruped robot based on the ePaddle mechanism. To ensure the re

Cited by 13SourceScholar
2018

Dynamic Modelling and Motion Planning for the Nonprehensile Manipulation and Locomotion Tasks of the Quadruped Robot

IROS 2018poster

This paper presents the dynamic modelling and motion planning method for a quadruped robot that uses its legs for nonprehensile manipulation as well as locomotion. Three different working modes named Drive Mode, Inchworm Mode and Scoot Mode are proposed to enable the robot to move forward together w…

Cited by 4SourceScholar
2018

Dynamic Modelling and Motion Planning for the Nonprehensile Manipulation and Locomotion Tasks of the Quadruped Rsbot*This work is supported by the project of Robotics Innovation Based on Advanced Materials under Ritsumeikan Global Innovation Research Organization (R-GIRO)

IROS 2018

This paper presents the dynamic modelling and motion planning method for a quadruped robot that uses its legs for nonprehensile manipulation as well as locomotion. Three different working modes named Drive Mode, Inchworm Mode and Scoot Mode are proposed to enable the robot to move forward together w

Cited by 1SourceScholar