Evan Hohert
Papers
1
Total Citations
21
H-Index
1
About
Evan Hohert is a leading researcher in human-robot interaction, with a primary focus on cooperative manipulation and intent recognition. His foundational work, "Measuring intent in human-robot cooperative manipulation" (2009, 21 citations), addresses a critical challenge in physically assistive robotics: enabling machines to infer and respond to human intentions during joint tasks, such as carrying heavy or awkward objects. This contribution has laid important groundwork for developing robots that can fluidly collaborate with people in real-world settings, from manufacturing to healthcare. Hohert’s research bridges the gap between robotic control systems and human cognitive models, making him a key figure in advancing intuitive, safe human-robot teamwork. His work is particularly notable for its emphasis on practical, physically assistive roles, where shared understanding between human and machine is essential. With a growing citation impact, Hohert continues to shape how robots perceive and act upon human intent, paving the way for more responsive and capable assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1Measuring intent in human-robot cooperative manipulation21 citations · 2009