Daniel Wolf
Papers
10
Total Citations
197
H-Index
6
About
Daniel Wolf is a leading researcher in socially assistive robotics, with a primary focus on developing mobile service robots that enable older adults to live independently and safely in their own homes. His most significant contributions center on the Hobbit robotic platform, a socially assistive robot designed for fall detection, prevention, and daily living support. Through extensive field trials in 16 private households, Wolf demonstrated the robot's real-world usability, achieving 82 citations for his landmark study on perceived safety and user acceptance. His work on autonomous object grasping from the floor—a critical capability for assistive robots—has been cited 11 times, while his research on fall detection and prevention has garnered 62 citations. Wolf has also advanced robot navigation in domestic environments using RGB-D sensors and developed efficient semantic segmentation frameworks for object search. His user-centered approach, including studies where the robot was "set free" in homes without pre-specified schedules, has provided invaluable insights into what older adults truly want from assistive robots. By bridging the gap between laboratory robotics and real-world deployment, Wolf's research continues to shape the future of aging-in-place technology.
Research Focus
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