Papers
4
Total Citations
68
H-Index
4
About
Jason Kim’s research sits at the fascinating intersection of human-robot interaction, autonomous systems, and specialized hardware acceleration. His work explores how humans perceive robot agency—most notably in his highly cited 2015 study demonstrating that people instinctively view a cheating robot as more intentional and agentic than a fair-playing one, a finding with profound implications for trust and ethics in robotics. Kim also advances practical robotic systems, including a wall-climbing robot paired with an aerial drone for nuclear power plant safety inspections, and a sophisticated simulator for autonomous underwater vehicles that integrates acoustic and optical sensing. On the hardware frontier, he co-developed NeCTAr, a 16nm RISC-V system-on-chip that accelerates machine learning inference near cache memory, achieving 109 GOPS at just 400MHz. With over 68 citations across his most prominent works, Kim’s contributions span cognitive science, field robotics, and chip design—making him a versatile researcher whose work shapes both how we build robots and how we understand them.
Research Focus
Key Achievements
Top Papers
- 1Evidence that Robots Trigger a Cheating Detector in Humans43 citations · 2015
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