Jason Gao

Harvard University, Massachusetts Institute of Technology

Papers

Total Citations

100

H-Index

About

Jason Gao’s research lies at the intersection of robotic manipulation, tactile sensing, and low-cost depth perception, with a focus on making advanced sensing technologies more accessible. His most influential work, “Contact sensing and grasping performance of compliant hands” (2009), has garnered 81 citations and fundamentally advanced the understanding of how compliant robotic hands interact with objects, improving grasp reliability through integrated contact sensing. This contribution remains foundational for researchers developing soft and adaptive robotic grippers. In a more recent line of inquiry, Gao tackled the challenge of affordable outdoor depth sensing. His 2016 paper on a smartphone-based laser distance sensor (16 citations) proposed a low-cost alternative to expensive LIDAR systems, enabling robotic navigation in outdoor environments without sacrificing performance. He further refined this approach with a systematic method for assessing the detectability of active triangulation range finders under varying solar irradiance (2016, 3 citations), ensuring eye-safe yet effective laser power selection. Together, Gao’s work demonstrates a commitment to bridging the gap between high-performance robotics and practical, low-cost implementation—a theme that resonates deeply with engineers and researchers seeking to democratize robotic technology.