Papers

18

Total Citations

577

H-Index

12

About

Amir Karniel is a leading researcher in motor control, haptic perception, and human-robot interaction, whose work bridges computational neuroscience and robotics. His most influential contribution is the exploration of how the motor control system uses multiple models and context switching to cope with variable environments—a 2002 paper that has garnered 142 citations and remains foundational in the field. He pioneered the concept of a Turing-like handshake test to assess motor intelligence, demonstrating whether robots can produce movements indistinguishable from those of humans (63 citations). Karniel has also made seminal contributions to understanding the perception of delayed stiffness in teleoperation, revealing how the brain constructs internal representations of haptic environments (90 citations). His analytical work on perceptual and motor transparency in bilateral teleoperation (50 citations) has advanced the design of more intuitive robotic interfaces. Beyond these, he has developed neuro-robotic systems using lamprey brainstems to study neural dynamics and plasticity (33 citations). Karniel’s research consistently challenges assumptions about sensorimotor control, offering deep insights into how the brain represents time, stiffness, and environmental uncertainty—work that has profound implications for prosthetics, virtual reality, and human-robot collaboration.

Research Focus

Key Achievements

12
H-Index
18
Papers
577
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Does the motor control system use multiple models and context switching to cope with a variable environment?
142 citations · 2002
📈 Most Prolific Year: 2012 (4 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Northwestern University, Ben-Gurion University of the Negev, Technion – Israel Institute of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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