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About

Heng Wei is a robotics researcher whose work centers on multi-robot systems, simultaneous localization and mapping (SLAM), and autonomous navigation. His most impactful contribution is the development of an ORB-SLAM-based system for real-time robot tracking and dense 3D reconstruction using Kinect 2.0, which advanced the practical application of sparse visual SLAM algorithms (29 citations). Wei has also made significant strides in distributed multi-robot formation control, addressing the critical challenges of noise and time delay in consensus algorithms (20 citations). His exploration of deep reinforcement learning for mapless navigation, particularly with continuous action spaces, demonstrates a forward-looking approach to autonomous robot movement (8 citations). Additionally, his work on trajectory tracking control using UWB ranging for heterogeneous mobile robots showcases his ability to integrate practical sensor solutions into complex control problems. Through these contributions, Wei has established himself as a researcher focused on bridging theoretical algorithms with real-world robotic applications, particularly in environments requiring robust localization, coordination, and adaptive navigation.