Jeff Hyams

About

Jeff Hyams is a leading researcher in mobile robotics, with key contributions to human-robot interaction, cooperative navigation, and urban search and rescue (USAR). His most influential work, "People tracking and following with mobile robot using an omnidirectional camera and a laser" (173 citations), pioneered robust methods for tracking fast-moving individuals in outdoor environments by fusing data from an omnidirectional camera and a laser range-finder, enabling robots to follow humans reliably in unstructured settings. Hyams also made foundational contributions to USAR robotics, co-authoring a seminal paper (85 citations) that identified critical mobility and sensing demands for robots in disaster scenarios, directly shaping the field's research agenda. His work on low-complexity vision-based docking (51 citations) introduced an efficient algorithm for reactive docking, while his studies on cooperative micro-rover navigation (30 and 11 citations) advanced multi-robot positioning in large, unstructured spaces. Hyams's research, characterized by practical, real-world applications, has been widely cited for its impact on autonomous navigation and human-robot collaboration, establishing him as a key figure in mobile robotics innovation.

Research Focus

Key Achievements

Top Papers

1. 1
   People tracking and following with mobile robot using an omnidirectional camera and a laser

   173 citations · 2006
2. 2
   Mobility and sensing demands in USAR

   85 citations · 2002
3. 3
   Low-order-complexity vision-based docking

   51 citations · 2001
4. 4
   Cooperative Navigation of Micro-Rovers Using Color Segmentation

   30 citations · 2000
5. 5
   Cooperative navigation of micro-rovers using color segmentation

   11 citations · 2003
6. 6
   A Communication-free Behavior for Docking Mobile Robots

   9 citations · 2000
7. 7
   A Case Study of How Mobile Robot Competitions Promote Future Research

   7 citations · 2002

Key Collaborators

Contact & Links