David D. Grossman

IBM Research - Thomas J. Watson Research Center, IBM (United States)

Papers

Total Citations

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About

David D. Grossman is a pioneering researcher in robotics and manufacturing automation, with a focus on intuitive robot programming and the intersection of robotics with numerical control (NC) machining. His most influential work, "XPROBE: An Experimental System for Programming Robots by Example" (1984, 24 citations), introduced a novel teaching-by-showing method that allowed users to program robots through guided demonstrations, automatically generating AML code. This contribution advanced human-robot interaction by making programming accessible to non-experts. Grossman also explored the potential of multiple independent robot arms (1985, 10 citations), demonstrating how coordination between arms could enhance manufacturing efficiency. In his 1986 work on NC machining (10 citations), he argued for revitalizing the field by adapting robotic software technologies, warning that industry pressures to constrain robots to outdated NC standards were stifling innovation. Though his citation counts reflect a niche but impactful career, Grossman’s work remains relevant for researchers in robot programming, human-robot collaboration, and manufacturing automation. His contributions highlight the enduring challenge of bridging intuitive user interfaces with complex robotic systems.