Max Robotics — Global Service Robot Directory + US Certification

About

Tovi Grossman is a leading researcher at the intersection of human-computer interaction, robotics, and creative tool design. His work fundamentally reimagines how people instruct and collaborate with robots, making complex robotic systems more accessible to non-experts. A key contribution is the development of data-driven, interactive systems that simplify robot behavior design. His paper "Geppetto" (56 citations) pioneered a method for editing expressive robot motions without requiring users to manipulate unintuitive control parameters. Grossman has also advanced physical skill tutoring through innovative telepresence. "ASTEROIDS" (24 citations) introduced swarms of mini-telepresence robots to enhance spatial awareness during remote demonstrations, while "Stargazer" (10 citations) created an autonomous camera robot that captures how-to videos by reading subtle instructor cues. His work "Mimic" (6 citations) further streamlines teleoperation by allowing in-situ recording and reuse of demonstrations. Beyond these, Grossman has explored human-robot collaboration in fabrication, as seen in "The Hive" (7 citations), and continues to push boundaries with "ImageInThat" (4 citations), which uses image manipulation to convey user instructions to robots. With a research portfolio that consistently bridges the gap between human intent and robotic action, Grossman is shaping a future where robots are intuitive, responsive partners in creative and practical tasks.