Moshe Kam

About

Moshe Kam is a prominent robotics and autonomous systems researcher whose work spans mobile robot navigation, motion planning, neuromorphic computing, and multi-vehicle coordination. His most influential contribution, "Sensor Fusion for Mobile Robot Navigation" (1997), has garnered 248 citations and remains a foundational reference for researchers integrating complementary and redundant sensor data to achieve reliable robot self-localization — a cornerstone challenge in autonomous systems. His early and sustained interest in neural network-based control, evident from his 1987 neuromorphic architecture work through his 2003 studies on adaptive robot control and one-legged hopping machines, demonstrates a career-long commitment to biologically inspired approaches to machine intelligence. Kam's research evolved to address the complexities of multi-robot systems, with several papers exploring time-optimal velocity planning and communication-constrained coordination for groups of autonomous vehicles — work increasingly relevant in today's drone swarm and autonomous fleet research environments. His investigations into N-dimensional motion planning among moving obstacles further reflect a rigorous mathematical foundation underlying his applied robotics contributions. Collectively, Kam's body of work bridges theoretical algorithms and practical autonomous systems design, making him a valuable figure for students exploring robot navigation, distributed multi-agent coordination, and neuromorphic control architectures.

Research Focus

Key Achievements

Top Papers

1. 1
   Sensor Fusion for Mobile Robot Navigation

   248 citations · 1997
2. 2
   Robot motion planning on N-dimensional star worlds among moving obstacles

   44 citations · 1998
3. 3
   Neuromorphic architectures for fast adaptive robot control

   22 citations · 2003
4. 4
   Multi-vehicle path coordination under communication constraints

   20 citations · 2008
5. 5
   NEUROMORPHIC ARCHITECTURE FOR ADAPTIVE ROBOT CONTROL: A PRELIMINARY ANALYSIS.

   17 citations · 1987
6. 6
   Cooperative Multi-agent Constellation Formation Under Sensing and Communication Constraints

   15 citations · 2005
7. 7
   Multi-vehicle path coordination in support of communication

   15 citations · 2009
8. 8
   Decentralized multi-vehicle path coordination under communication constraints

   13 citations · 2011
9. 9
   Decentralized multi-vehicle path coordination under communication constraints

   10 citations · 2011
10. 10
    A neural network learning strategy for the control of a one-legged hopping machine

    10 citations · 2003

Key Collaborators

Contact & Links