Yixin Zhu

About

Yixin Zhu is a multidisciplinary researcher whose work spans cognitive robotics, human-robot interaction, neuromorphic computing, and machine learning. His research is distinguished by a rare breadth that bridges biological inspiration with practical artificial intelligence, exploring how machines can perceive, reason, and collaborate more like humans. Among his most significant contributions is foundational work on explainable AI and human-robot trust — his 2019 paper on robot behavior explanation (132 citations) proposed frameworks for how machines can earn human confidence through transparent communication. This thread extends into bidirectional human-robot value alignment (74 citations), addressing how robots and humans can negotiate goals collaboratively in real time. His augmented reality approach to robot knowledge patching (73 citations) further demonstrates a commitment to making AI systems interpretable and correctable. Zhu has also made substantial contributions to neuromorphic sensing, including pioneering work on photoelectric spiking neurons for visual depth perception (138 citations) and neuromorphic transistors that emulate biological pain pathways (48 citations). His imitation learning research — teaching robots manipulation skills by integrating force and pose — has driven advances in dexterous grasping (59 citations). Collectively, his work reflects a cohesive vision: intelligent systems that sense, learn, and communicate with human-like fluency, backed by meaningful real-world impact across robotics and hardware communities.

Research Focus

Key Achievements

Top Papers

1. 1
   A Photoelectric Spiking Neuron for Visual Depth Perception

   138 citations · 2022
2. 2
   A tale of two explanations: Enhancing human trust by explaining robot behavior

   132 citations · 2019
3. 3
   Inferring Forces and Learning Human Utilities from Videos

   83 citations · 2016
4. 4
   In situ bidirectional human-robot value alignment

   74 citations · 2022
5. 5
   Interactive Robot Knowledge Patching Using Augmented Reality

   73 citations · 2018
6. 6
   Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles

   66 citations · 2017
7. 7
   GenDexGrasp: Generalizable Dexterous Grasping

   59 citations · 2023
8. 8
   A virtual reality platform for dynamic human-scene interaction

   59 citations · 2016
9. 9
   Recent advances in emerging neuromorphic computing and perception devices

   49 citations · 2021
10. 10
    Indium‐Gallium‐Zinc‐Oxide Based Photoelectric Neuromorphic Transistors for Modulable Photoexcited Corneal Nociceptor Emulation

    48 citations · 2021

Key Collaborators

Contact & Links