Yanjie Liu

About

Yanjie Liu is a prominent robotics researcher whose work spans mobile robot navigation, multi-sensor fusion, and robotic manipulation. With a career trajectory moving from hardware-level innovations to sophisticated algorithmic solutions, Liu has established a compelling body of work that addresses fundamental challenges in autonomous robotics. Liu's most impactful contributions center on robot navigation and localization. His 2023 fusion algorithm combining kinematically constrained A* with Dynamic Window Approach (55 citations) and his multi-sensing LiDAR localization method leveraging 3D LiDAR, IMU, and odometry (51 citations) demonstrate a consistent drive to overcome limitations of traditional approaches. His 2022 enhanced visual-inertial odometry system and 2024 deep reinforcement learning-based navigation using Soft Actor-Critic further showcase his versatility across both classical and learning-based methodologies. Beyond navigation, Liu has made meaningful contributions to robotic manipulation, including a novel electromagnetic tactile sensor for stick-slip detection (32 citations), energy-optimal trajectory planning for palletizing robots, and impedance control for handling unpredictable adhesion forces. His earlier work on wafer-handling robot arm optimization reflects foundational engineering rigor. Across roughly a decade of research, Liu's portfolio—accumulating over 270 citations—reflects a researcher consistently bridging theoretical innovation with practical robotic systems, making his work highly relevant for students and engineers advancing autonomous robot capabilities.

Research Focus

Key Achievements

Top Papers

1. 1
   Mobile Robot Path Planning Based on Kinematically Constrained A-Star Algorithm and DWA Fusion Algorithm

   55 citations · 2023
2. 2
   Improved LiDAR Localization Method for Mobile Robots Based on Multi-Sensing

   51 citations · 2022
3. 3
   A Novel Tactile Sensor with Electromagnetic Induction and Its Application on Stick-Slip Interaction Detection

   32 citations · 2016
4. 4
   Trajectory Optimization for Adaptive Deformed Wheels to Overcome Steps Using an Improved Hybrid Genetic Algorithm and an Adaptive Particle Swarm Optimization

   28 citations · 2024
5. 5
   A Soft Actor-Critic Deep Reinforcement-Learning-Based Robot Navigation Method Using LiDAR

   18 citations · 2024
6. 6
   An Enhanced Hybrid Visual–Inertial Odometry System for Indoor Mobile Robot

   18 citations · 2022
7. 7
   A Method of Energy‐Optimal Trajectory Planning for Palletizing Robot

   18 citations · 2017
8. 8
   Real-Time Dense Construction With Deep Multiview Stereo Using Camera and IMU Sensors

   17 citations · 2023
9. 9
   Method for Structural Optimization Design of Wafer Handling Robot Arms

   17 citations · 2015
10. 10
    A novel impedance control method of rubber unstacking robot dealing with unpredictable and time-variable adhesion force

    16 citations · 2020

Key Collaborators

Contact & Links