Papers
17
Total Citations
391
H-Index
9
About
P. Freedman is a distinguished robotics researcher whose work spans formal modeling of robotic systems, autonomous mobile robot navigation, and distributed robotic architectures. Over a career producing consistently influential scholarship, Freedman has made foundational contributions to the application of Petri net theory in robotics, most notably through the development of the Omega class of condition/event nets for modeling repetitive workcell tasks — a paper that has garnered over 100 citations and remains a landmark in formal methods for robotics. His early work on interprocess communication for distributed multi-robot systems (57 citations) addressed the emerging complexity of cooperative robotic behavior in dynamic environments, anticipating challenges that remain relevant today. Freedman's research on autonomous mapping is equally notable, with multiple papers exploring how mobile robots can construct topological maps of unknown graph-like worlds without relying on precise positional data — an elegant and practically significant contribution to robot exploration. His "just-in-time sensing" approach to fusing sonar and laser range data further demonstrated a talent for pragmatic, efficiency-driven solutions. With a cumulative body of work exceeding 350 citations across diverse robotics subfields, Freedman represents a versatile and enduring voice in intelligent robotics research.
Research Focus
Key Achievements
Top Papers
- 1Time, Petri nets, and robotics106 citations · 1991
- 2Interprocess communication for distributed robotics57 citations · 1987
- 3Using Local Information in a Non-Local Way for Mapping Graph-Like Worlds.45 citations · 1993
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- 5Mapping in unknown graph-like worlds27 citations · 1996
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- 7Surface sensing and classification for efficient mobile robot navigation25 citations · 2002
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- 9Mapping in unknown graph‐like worlds13 citations · 1996
- 10A database design for the runtime environment of a robotic workcell8 citations · 1989