Jianheng Liu

Shenzhen Institute of Information Technology, Harbin Institute of Technology

Papers

Total Citations

121

H-Index

About

Jianheng Liu is a leading researcher in robotics and autonomous systems, specializing in simultaneous localization and mapping (SLAM), active perception, and 3D object reconstruction. His work addresses critical challenges in enabling robots to operate reliably in complex, dynamic environments. Liu’s most impactful contribution is his pioneering work on RGB-D inertial odometry for resource-restricted robots, which integrates deep learning-based semantic information to filter out dynamic objects—a common failure point for traditional SLAM algorithms. This paper has garnered 102 citations, underscoring its significance in advancing robust navigation for mobile robots. In parallel, his research on active implicit object reconstruction introduces a novel uncertainty-guided next-best-view optimization framework, seamlessly merging implicit neural representations with active sensing strategies to balance reconstruction accuracy and efficiency. This work, with 19 citations, demonstrates his ability to push the boundaries of autonomous perception. Liu’s achievements are notable for bridging the gap between theoretical innovation and practical deployment, particularly in resource-constrained settings. His contributions are essential reading for students and researchers seeking to understand state-of-the-art approaches to robot autonomy in dynamic, real-world scenarios.