Yang Ye

About

Yang Ye is a pioneering researcher at the intersection of robotics, artificial intelligence, and construction engineering, with a particular focus on human-robot collaboration, robot teleoperation, and AI-driven automation. His work addresses some of the most pressing challenges in deploying robotic systems in complex, real-world environments — from construction sites to hazardous workplaces. Ye's most impactful contribution to date is his landmark 2023 study integrating ChatGPT into human-robot collaboration frameworks, which garnered an impressive 193 citations and demonstrated how large language models can dramatically improve operator trust in robotic systems. Building on this, his RoboGPT framework (89 citations) showcased automated sequence planning for construction assembly, signaling a transformative shift in how AI can streamline robotic workflows. Beyond AI integration, Ye has made substantial contributions to robot teleoperation, developing innovative haptic feedback systems, sensory manipulation techniques to counteract operational delays, and humanlike inverse kinematics to improve spatial awareness. His DEXBOT framework further advances embodied AI for dexterous construction robotics. Notably, his research spans cognitive science as well, employing fNIRS neuroimaging to understand operators' neural responses during teleoperation. Across his body of work, Ye consistently bridges cutting-edge technology with practical engineering applications, establishing himself as a distinctive and influential voice in intelligent construction robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Improved Trust in Human-Robot Collaboration With ChatGPT

   193 citations · 2023
2. 2
   Robot-Enabled Construction Assembly with Automated Sequence Planning Based on ChatGPT: RoboGPT

   89 citations · 2023
3. 3
   Robot-Assisted Immersive Kinematic Experience Transfer for Welding Training

   37 citations · 2023
4. 4
   Embodied Robot Teleoperation Based on High-Fidelity Visual-Haptic Simulator: Pipe-Fitting Example

   34 citations · 2023
5. 5
   Embodied AI for dexterity-capable construction Robots: DEXBOT framework

   24 citations · 2024
6. 6
   Humanlike Inverse Kinematics for Improved Spatial Awareness in Construction Robot Teleoperation: Design and Experiment

   23 citations · 2023
7. 7
   Sensory manipulation as a countermeasure to robot teleoperation delays: system and evidence

   21 citations · 2024
8. 8
   Haptics-Based Robot Teleoperation for Soft Object Manipulation

   7 citations · 2025
9. 9
   Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis

   3 citations · 2024
10. 10
    Sensory Manipulation as a Countermeasure to Robot Teleoperation Delays: System and Evidence

    2 citations · 2023

Key Collaborators

Contact & Links