Jordan Allspaw
Papers
14
Total Citations
216
H-Index
7
About
Jordan Allspaw’s research sits at the intersection of human-robot interaction, assistive robotics, and robot explainability, with a focus on making autonomous systems more accessible and understandable. His work spans social telepresence for healthcare residents, robot-assisted autism therapy, and mobile manipulation in confined environments. Allspaw’s most cited paper (52 citations) presents a case study on accessible human-robot interaction for telepresence robots, while his 39-citation study on robots in autism therapy helped establish evidence for their therapeutic potential. He has made significant contributions to robot explainability, notably through his 2021 paper on using behavior trees to generate robot explanations (34 citations) and his work on projection mapping to externalize robot perception and intent. Allspaw also developed design guidelines for assistive robot manipulation systems and explored virtual reality interfaces for human-in-the-loop robot planning. His iterative design of a semi-autonomous social telepresence robot platform (25 citations) demonstrates his commitment to user-centered development. With over 200 total citations across his publications, Allspaw’s research continues to shape how robots communicate their actions and interact with vulnerable populations, bridging the gap between technical capability and human understanding.
Research Focus
Key Achievements
Top Papers
- 1Accessible Human-Robot Interaction for Telepresence Robots: A Case Study52 citations · 2015
- 2Measuring the Efficacy of Robots in Autism Therapy39 citations · 2015
- 3Building the Foundation of Robot Explanation Generation Using Behavior Trees34 citations · 2021
- 4
- 5
- 6
- 7
- 8
- 9
- 10