Sotabase

Career

· Intern, Amazon2020–2020
· Senior Research Scientist, Tencent Robotics X Lab2020–
· Visiting Student Researcher, Stanford University2019–2019
· Research Intern, Tencent AI Lab2018–2019
· Ph.D. in Electronic Engineering, The Chinese University of Hong Kong2016–2020
· B.Eng. in Control and System Engineering, Nanjing University2012–2016
· CUHK, China
· Principal Engineer, Samsung Electronics

Publications (0)

GMR-RRT*: Sampling-Based Path Planning Using Gaussian Mixture Regression
IEEE Transactions on Intelligent Vehicles · 2022
93
cited
Deep Reinforcement Learning Supervised Autonomous Exploration in Office Environments
IEEE International Conference on Robotics and Automation · 2018
89
cited
Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models
Nature Machine Intelligence · 2023
71
cited
HouseExpo: A Large-scale 2D Indoor Layout Dataset for Learning-based Algorithms on Mobile Robots
IEEE/RJS International Conference on Intelligent RObots and Systems · 2019
64
cited
Learning Hierarchical Control for Robust In-Hand Manipulation
IEEE International Conference on Robotics and Automation · 2019
42
cited
A Novel OCR-RCNN for Elevator Button Recognition
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
30
cited
Learning Terrain-Adaptive Locomotion with Agile Behaviors by Imitating Animals
IEEE/RJS International Conference on Intelligent RObots and Systems · 2023
17
cited
An Autonomous Eye-in-Hand Robotic System for Elevator Button Operation Based on Deep Recognition Network
IEEE Transactions on Instrumentation and Measurement · 2021
16
cited
A Searching Space Constrained Partial to Full Registration Approach With Applications in Airport Trolley Deployment Robot
IEEE Sensors Journal · 2021
15
cited
Learning to Interrupt: A Hierarchical Deep Reinforcement Learning Framework for Efficient Exploration
IEEE International Conference on Robotics and Biomimetics · 2018
15
cited
Learning to Solve a Rubik’s Cube with a Dexterous Hand
IEEE International Conference on Robotics and Biomimetics · 2019
14
cited
A hybrid 3DoF pose estimation method based on camera and lidar data
IEEE International Conference on Robotics and Biomimetics · 2017
10
cited
Terrain-Aware Quadrupedal Locomotion via Reinforcement Learning
arXiv.org · 2023
8
cited
Learning Highly Dynamic Behaviors for Quadrupedal Robots
IEEE International Conference on Robotics and Automation · 2024
7
cited
NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System
arXiv.org · 2022
6
cited
Bone Drilling Breakthrough Detection via Energy-Based Signal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society · 2018
4
cited
Learning-based Fast Path Planning in Complex Environments
IEEE International Conference on Robotics and Biomimetics · 2021
4
cited
An Efficient Model-Based Approach on Learning Agile Motor Skills without Reinforcement
IEEE International Conference on Robotics and Automation · 2024
3
cited
Learning Robot Exploration Strategy With 4D Point-Clouds-Like Information as Observations
IEEE Robotics and Automation Letters · 2021
3
cited
Lifelike Agility and Play on Quadrupedal Robots using Reinforcement Learning and Generative Pre-trained Models
arXiv.org · 2023
2
cited
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