John R. Peterson

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Shlomo ZilbersteinProfessor of Computer Science, University of Massachusetts AmherstVerified email at cs.umass.edu
Connor BasichJet Propulsion Laboratory, California Institute of TechnologyVerified email at jpl.nasa.gov
Matthias ScheutzProfessor of Computer Science and Cognitive Science, Tufts UniversityVerified email at tufts.edu
Bradley OosterveldTufts UniversityVerified email at tufts.edu
Anagha KulkarniInvitaeVerified email at invitae.com
Joseph KimStaff AI Scientist at InvitaeVerified email at csail.mit.edu
Evan KrauseVerified email at tufts.edu
Emil Keyder

John R. Peterson

Robotics Software Engineer, Thinking Robots Inc.

Verified email at thinkingrobots.ai


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Planning with Intermittent State Observability: Knowing When to Act Blind C Basich, J Peterson, S Zilberstein 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022	1	2022
A Multi-Robot Architecture Framework for Effective Robot Teammates in Mixed-Initiative Teams M Scheutz, B Oosterveld, J Peterson, E Wyss, E Krause Proceedings of the 2024 International Symposium on Technological Advances in …, 2024		2024
Dialogue-based Task Instructions and Modifications for Industrial Robots M Scheutz, B Oosterveld, J Peterson, E Wyss Automation, Robotics & Communications for Industry 4.0/5.0, 18, 2024		2024
Trajectory Constraint Heuristics for Optimal Probabilistic Planning JR Peterson, A Kulkarni, E Keyder, J Kim, S Zilberstein Proceedings of the International Symposium on Combinatorial Search 15 (1 …, 2022		2022
Planning with Inconsistent Sensors: Knowing When to Act Blind C Basich, JR Peterson, S Zilberstein

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