Adam Stogsdill
Papers
2
Total Citations
11
H-Index
2
About
Adam Stogsdill is a researcher at the forefront of human-robot interaction (HRI), specializing in how robots can use non-verbal communication—specifically spatial gestures—to collaborate more naturally with people. His work focuses on the critical challenge of enabling robots to select and execute appropriate gestures when describing locations and objects, particularly in large-scale or visually occluded environments. Stogsdill’s key contributions include modeling the factors that guide human selection between different gesture types, such as pointing versus abstract referencing. His 2021 paper, “Is it Pointless? Modeling and Evaluation of Category Transitions of Spatial Gestures” (6 citations), provides a foundational framework for understanding when and why humans switch between gesture categories. Building on this, his 2024 work, “(Gestures Vaguely): The Effects of Robots' Use of Abstract Pointing Gestures in Large-Scale Environments” (5 citations), explores how robots can effectively use abstract gestures to refer to out-of-sight objects—a crucial step for deploying robots in real-world settings like warehouses or public spaces. By bridging the gap between human gestural behavior and robotic implementation, Stogsdill is helping to create more intuitive, context-aware robotic assistants.
Research Focus
Key Achievements
Top Papers
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