Sense contact感知接触
Build event-based tactile sensors that capture texture and contact as sparse signals.构建事件驱动触觉传感器，把纹理与接触编码为稀疏信号。
Neuromorphic tactile hardware神经形态触觉硬件Open to research collaboration and career opportunities欢迎科研合作与职业机会
PhD Researcher · Neuromorphic Tactile Robotics博士研究员 · 神经形态触觉机器人
Ao Li李敖
I build low-power tactile intelligence for robots and industrial inspection.我为机器人与工业检测打造低功耗的触觉智能。
School of Engineering Mathematics and Technology, University of Bristol
Bristol Robotics Laboratory · Dexterous Group
Active touch · event processing · texture classification主动触觉 · 事件处理 · 纹理识别
PhD
University of Bristol布里斯托大学
Engineering Mathematics工程数学4
Research outputs科研成果
Tactile robotics & SNNs触觉机器人与脉冲神经网络£151k
Funded projects项目资助
As PI or Co-Investigator担任项目负责人或共同研究者300+
Teaching hours教学小时
Across six university modules覆盖六门大学课程Research focus研究方向
From contact to decisions从接触到决策
I study how robots can actively explore the world through touch. At Bristol Robotics Laboratory, I combine human-inspired movement, neuromorphic tactile sensing and spiking neural networks, then translate those ideas into real-time inspection systems for composite manufacturing.我研究机器人如何像人一样主动通过触觉探索世界。在布里斯托机器人实验室，我将仿生探索动作、神经形态触觉传感与脉冲神经网络结合，并把这些研究转化为面向复合材料制造的实时检测系统。
Explore actively主动探索
Study how speed, motion and contact strategy change what a robot can feel.研究速度、动作与接触策略如何改变机器人的触觉信息。
Human-inspired movement仿人探索动作Compute with spikes脉冲计算
Use spiking neural networks to classify tactile events with low power and latency.使用脉冲神经网络，以低功耗、低延迟方式识别触觉事件。
Efficient neuromorphic models高效神经形态模型Inspect in real time实时检测
Translate laboratory touch into autonomous composite quality assurance.把实验室触觉研究转化为复合材料自主质量检测。
Industrial deployment工业场景落地Selected projects精选项目
Research that moves能落地的研究
A short selection of work across tactile hardware, robot motion, event data and efficient models.精选展示触觉硬件、机器人运动、事件数据与高效模型相关工作。
Industry产业
Autonomous composite quality assurance with neuromorphic touch基于神经形态触觉的复合材料自主质量检测
Moving tactile intelligence from the lab to the manufacturing line.把触觉智能从实验室带到复合材料产线。
Research科研
Neuromorphic tactile framework for composite surfaces面向复合材料表面的神经形态触觉框架
A seed project connecting event-based touch with real-time surface analysis.以种子项目连接事件触觉与实时表面分析。
Selected publications精选论文
Published evidence公开的研究证据
Recent work in tactile robotics, active exploration and efficient spiking neural networks.近期工作聚焦触觉机器人、主动探索与高效脉冲神经网络。
- 01
Velocity Modulation in Robotic Texture Exploration Based on Human Perceptual Dimensions
- 02
Exploratory Movement Strategies for Texture Discrimination with a Neuromorphic Tactile Sensor
- 03
Neuromorphic touch for robotics — A review
Communication Assistant学院传播助理
Faculty of Science & Engineering · University of Bristol
- Directed, filmed and edited stories about university facilities and research.策划、拍摄并剪辑大学设施与科研项目内容。
- Managed social media and supported prospective international students.运营学院社交媒体，并为国际学生提供行前答疑。
Collaboration合作交流
Let’s build machines that understand touch.一起让机器真正理解触觉。
I welcome conversations about tactile robotics, neuromorphic sensing, industrial inspection, research communication and relevant career opportunities.欢迎就触觉机器人、神经形态传感、工业检测、科研传播及相关职业机会与我交流。
ao.li@bristol.ac.uk