Papers

10

Total Citations

165

H-Index

6

About

Daniel J. Brooks is a leading researcher in human-robot interaction (HRI), with a particular focus on accessible social telepresence robotics and natural language communication. His work centers on designing semi-autonomous telepresence robots that empower individuals with special needs—such as residents of healthcare facilities—to participate in remote social activities, directly improving quality of life. Brooks’s most cited paper (52 citations) presents a case study on accessible HRI for telepresence robots, while his iterative design research (25 citations) chronicles the development of a semi-autonomous platform. He has also made significant contributions to enabling continuous, flexible natural language interaction with autonomous robots (24 citations), allowing operators to communicate with robots as subordinate agents. Beyond telepresence, Brooks has advanced indoor probabilistic localization using self-contained landmarks (12 citations) and explored haptic joystick designs for shared robot control. His work on robot failure communication paradigms (5 citations) addresses critical trust and safety issues in HRI. With a career spanning foundational design, user-centered evaluation, and autonomous systems, Brooks’s research continues to shape how robots collaborate with humans in real-world, socially meaningful contexts.

Research Focus

Key Achievements

6
H-Index
10
Papers
165
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Accessible Human-Robot Interaction for Telepresence Robots: A Case Study
52 citations · 2015
📈 Most Prolific Year: 2013 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: University of Massachusetts Lowell, Toyota Research Institute

Top Papers

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    Sense, plan, triple jump
    2 citations · 2015

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago