Kuan-Lin Chen
Papers
6
Total Citations
52
H-Index
4
About
Kuan-Lin Chen is a robotics researcher whose work spans autonomous aerial systems, humanoid control, and intelligent decision-making. His most notable contribution is the development of **Duckiefloat**, a collision-tolerant, resource-constrained blimp designed for long-term autonomy in subterranean environments—a project inspired by the DARPA Subterranean Challenge. This work addresses critical challenges in search and rescue robotics, including mobility, perception, and communication, and has garnered 23 citations for its innovative approach to low-power, collision-tolerant aerial robots. Chen has also made significant strides in humanoid robotics, developing **proximal-policy-optimization (PPO)-based decision-making systems** and **two-stage fuzzy object grasping controllers** that enable more adaptive and intelligent robot behavior. His research on **sequential sensor fusion-based W-DDPG gait controllers** for bipedal robots further advances adaptive slope walking, demonstrating his commitment to real-world robot locomotion. With additional work in virtual reality crane simulations and object tracing systems, Chen’s portfolio reflects a diverse expertise in autonomous systems, control theory, and human-robot interaction. His contributions are shaping the future of resilient, intelligent robots capable of operating in challenging, unstructured environments.
Research Focus
Key Achievements
Top Papers
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- 6Simulating Extreme Points of Crane by Robot Arm in Virtual Reality2 citations · 2019