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Junyuan Xue

4 accepted papers

2026

Harmonising Safety Paradigms: Energy-Aware Control of Active Response and Passive Compliance for Safety-Critical Robotic Tasks

RA-L 2026

Ensuring safety in robotic manipulation is increasingly critical as robots become integrated into human-shared environments for complex physical interaction tasks. This paper presents an energy-aware control framework that combines active responses with passive compliance for safety-critical robotic

Cited by 0SourceScholar
2026

Harmonising Safety Paradigms: Energy-Aware Control of Active Response and Passive Compliance for Safety-Critical Robotic Tasks

ICRA 2026poster

Ensuring safety in robotic manipulation is increasingly critical as robots become integrated into human-shared environments for complex physical interaction tasks. This paper presents an energy-aware control framework that combines active responses with passive compliance for safety-critical robotic…

Cited by 0SourceScholar
2025

Learning-Based Predictive Impedance Control Towards Safe Predefined-Time Physical Robotic Interaction

IROS 2025

Impedance control can be achieved within a model predictive control (MPC) framework for optimization and constraint compliance. However, user-defined or optimization-derived impedance models can be too conservative to achieve a timely convergence, or too aggressive to ensure safety. To address this,

Cited by 0SourceScholar
2025

Sequen-Sync Contact Force/Torque Control Using Nested Fast Terminal Sliding Mode Control Approach

IROS 2025

As one of the most fundamental control modes in robotics, force/torque (F/T) control plays an essential role in a wide range of applications. However, classical F/T control fails to offer effective means to regulate the convergence sequence of the controlled states, which is beneficial in many real-

Cited by 0SourceScholar