Shuchao Deng

About

Shuchao Deng is a robotics researcher whose work centers on motion planning, trajectory optimization, and autonomous navigation for mobile robots operating in complex, unstructured environments. His major contributions lie in advancing the timed-elastic-band (TEB) approach, integrating it with artificial potential fields and multiple constraints to enable real-time, stable obstacle avoidance for car-like and cooperative steering robots. Deng’s most cited paper (2021, 16 citations) presents a hybrid motion planning framework that addresses unstable motion states during obstacle avoidance, while his 2022 work on hierarchical exploration (9 citations) enables effective autonomous mapping of unknown spaces. He has also innovated in actuator design, developing a novel single-phase-driven piezoelectric actuator (2024, 12 citations), and extended his research to extreme environments with a piezoelectric driving track robot for Tokamak vacuum chamber maintenance (2025). With over 50 total citations across his key publications, Deng’s work is foundational for researchers in field robotics, autonomous systems, and precision motion control.

Research Focus

Key Achievements

Top Papers

1. 1
   Motion planning approach for car-like robots in unstructured scenario

   16 citations · 2021
2. 2
   Design and modelling of a novel single-phase-driven piezoelectric actuator

   12 citations · 2024
3. 3
   Hierarchical framework for mobile robots to effectively and autonomously explore unknown environments

   9 citations · 2022
4. 4
   Trajectory Planning Approach of Mobile Robot Dynamic Obstacle Avoidance with Multiple Constraints

   7 citations · 2021
5. 5
   A Solution for Trajectory Planning and Control of Cooperative Steering Mobile Robot Based on Time Elastic Band

   5 citations · 2022
6. 6
   Design and experimental research of a novel piezoelectric driving track robot for Tokamak vacuum chamber maintenance

   3 citations · 2025

Key Collaborators

Contact & Links