Dexterous Robotics
Robotic hands, contact-rich manipulation, tactile feedback, adaptive grasping, and embodied control.
University of Bristol · Bristol Robotics Laboratory
Boang Guan 管博昂
A PhD researcher building dexterous robots that sense, learn, and respond through touch.
The work sits at the meeting point of tactile sensing, robotic hands, XR teleoperation, reinforcement learning, and embodied AI — reaching for robots that are not only precise, but physically aware and easier for people to work alongside.
Dexterous Robotics
Visuotactile Sensing
XR Teleoperation
Embodied AI
current signal
Tactile intelligence
Research threads orbit around touch, robotics, XR, and embodied intelligence.
Personal Timeline
A trajectory still unfolding.
From Shandong to Bristol, places, studies, and turning points have folded into one continuous path toward tactile robotics.
Profile
From embedded intelligence to tactile robots.
Now a PhD researcher at the University of Bristol, based in the robotics community around the Bristol Robotics Laboratory. The work spans dexterous robotics, visuotactile sensing, tactile perception, human–robot interaction, XR teleoperation, reinforcement learning, and embodied AI.
The journey began at Central South University with IoT engineering, FPGA-based autonomous computing platforms, embedded systems, robotics competitions, and AIoT projects. An MSc in Robotics at Bristol then opened the way deeper into TacTip-based tactile robotics, mixed-reality interaction, and dexterous manipulation.
Research Vision
Teaching robots to understand the world through touch.
Future general-purpose robots should not rely on vision and language alone. They also need contact, deformation, pressure, slip — the subtle physical signals of the world — and the ability to keep adapting to them.
Visuotactile Perception
TacTip-style soft optical sensors turn deformation, marker motion, and tactile images into machine perception.
XR Teleoperation
Mixed-reality interfaces, digital twins, and human-in-the-loop operation for complex robotic systems.
Tactile Foundation Models
Tactile tokens and multimodal representations that connect touch with vision, language, and action.
Selected Work
Work in progress.
A few directions I keep returning to: tactile sensing, XR interaction, robotic hands, and embodied intelligence.
Trajectory
The path so far.
PhD Researcher, University of Bristol
Research into tactile sensing, dexterous manipulation, and AI-enabled robotic perception.
MSc Robotics, University of Bristol
Centred on Tactile Gym, mixed reality, reinforcement learning, and TacTip-based dexterous robotics.
BEng Internet of Things Engineering, Central South University
A foundation built through robotics competitions, FPGA/ARM platforms, AIoT systems, and national innovation projects.
National, provincial, and university awards
Robotics, innovation, leadership, and graduation honors that still shape a sense of responsibility today.
Boang & The World
Public moments that linked the work to a wider world.
A small archive of public reports and WeChat stories — from talks, teams, ceremonies, robotics competitions, and hometown notes to media moments that left traces outside the lab.
Web Reports
Stable public pages and media links.
WeChat Reports
Original long-form reports from WeChat stories and campus accounts.
Photography
Photography, a way of staying observant.
Beyond the lab, photography becomes a way to study light, texture, cities, machines, and people. These placeholders are waiting for a set of visual essays.
Verified Public Context
Links kept close to the record.
If You Know Me
Leave an impression.
This wall began with impressions drawn from public reports and a personal archive. If our paths have crossed, add a short note — the bubbles keep growing from real messages.
Contact