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Wen Qi

7 accepted papers

2026

AVO-QP: Task-Adaptive Real-Time Obstacle Avoidance for Redundant Manipulators on Edge Platforms

RA-L 2026

We address real-time obstacle avoidance for redundant manipulators where tracking and safety constraints can conflict and render quadratic programs (QPs) infeasible. We propose AVO-QP, a sensor-guided velocity-level planner that fuses RGB-D depth with learned detection to maintain situational awaren

Cited by 0SourceScholar
2025

Human-Robot Collaborative Tele-Grasping in Clutter With Five-Fingered Robotic Hands

RA-L 2025

Teleoperation offers the possibility of enabling robots to replace humans in operating within hazardous environments. While it provides greater adaptability to unstructured settings than full autonomy, it also imposes significant burdens on human operators, leading to operational errors. To address

Cited by 4SourceScholar
2025

Refer and Grasp: Vision-Language Guided Continuous Dexterous Grasping

IROS 2025

Robotic grasping guided by natural language instructions faces challenges due to ambiguities in object descriptions and the need to interpret complex spatial context. Existing visual grounding methods often rely on datasets that fail to capture these complexities, particularly when object categories

Cited by 0SourcecodeScholar
2024

Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network With Temporal Attention

RA-L 2024

Collaborative robots sensing and understanding the movements and intentions of their human partners are crucial for realizing human-robot collaboration. Human skeleton sequences are widely recognized as a kind of data with great application potential in human action recognition. In this letter, a mu

Cited by 19SourceScholar
2021

Multi-Sensor Guided Hand Gesture Recognition for a Teleoperated Robot Using a Recurrent Neural Network

RA-L 2021

Touch-free guided hand gesture recognition for human-robot interactions plays an increasingly significant role in teleoperated surgical robot systems. Indeed, despite depth cameras provide more practical information for recognition accuracy enhancement, the instability and computational burden of de

Cited by 192SourceScholar
2021

Sensor Fusion-based Anthropomorphic Control of Under-Actuated Bionic Hand in Dynamic Environment

IROS 2021poster

Under-actuated bionic hands have achieved tremendous popularity in many fields because of their advantages of lightweight, budget-friendly, satisfactory flexibility, and adaptability. Except for the bionic mechanical design, various anthropomorphic control strategies have been proposed and investiga…

Cited by 15SourceScholar
2020

Deep Neural Network Approach in Robot Tool Dynamics Identification for Bilateral Teleoperation

RA-L 2020

For bilateral teleoperation, the haptic feedback demands the availability of accurate force information transmitted from the remote site. Nevertheless, due to the limitation of the size, the force sensor is usually attached outside of the patient's abdominal cavity for the surgical operation. Hence,

Cited by 138SourceScholar