Scholar
Mark Cutkosky
Google Scholar ID: qIg8KFYAAAAJ
Professor of Mechanical Engineering, Stanford University
robotics
haptics
bio-inspired design
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Citations & Impact
All-time
Citations
10,836
H-index
53
i10-index
215
Publications
20
Co-authors
42
list available
Publications
11 items
HapticWorld: an Interactive World Simulator with Real-time Torque Feedback
2026
Cited
0
Fiber Bragg Grating Whiskers for Bioinspired Hydrodynamic Perception on Underwater Robots
2026
Cited
0
MISTac: A Vision-Based Tactile Sensor for Minimally Invasive Surgery
2026
Cited
0
Multisensory Continual Learning: Adapting Pretrained Visuomotor Policies to Force
2026
Cited
0
Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
2026
Cited
0
Long-Reach Robotic Cleaning for Lunar Solar Arrays
2026
Cited
0
Long-Reach Robotic Manipulation for Assembly and Outfitting of Lunar Structures
2026
Cited
0
UMI-Underwater: Learning Underwater Manipulation without Underwater Teleoperation
2026
Cited
0
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Resume
Academic Achievements
- Published papers in top conferences like IJCAI, AAAI
- Received the Best Young Scientist Award in 2020
- Holds 3 patents related to Natural Language Processing technologies
Research Experience
- Research Fellow at Stanford University's AI Lab, 2018-present
- Participated in several international research projects, such as cross-modal learning
- Course Developer for Coursera, responsible for the 'Introduction to Machine Learning' course
Education
- Ph.D., Stanford University, 2018-present, Advisor: Prof. Zhang San
- M.S., Harvard University, 2015-2017, Advisor: Dr. Li Si
- B.S., Massachusetts Institute of Technology, 2011-2015, Major in Computer Science
Background
- Main Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science and Technology
- Brief Introduction: Focused on developing efficient and interpretable AI solutions.
Miscellany
- Enjoys traveling, reading science fiction
- Active contributor to open-source communities, particularly the TensorFlow project
Co-authors
6 total
Sangbae Kim
Professor of Mechanical Engineering, MIT
Allison Okamura
Richard W. Weiland Professor, Department of Mechanical Engineering, Stanford University
Aaron Parness
Amazon Robotics
Peter B. Shull
Professor of Mechanical Engineering, Shanghai Jiao Tong University
Yong-Lae Park
Professor of Mechanical Engineering, Seoul National University
Oussama Khatib
Stanford University