Robot Motion Planning
Embedded Robotics
Robust navigation in an unknown environment with minimal sensing and representation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Close Range Inspection Using Novelty Detection Results
ICIRA '09 Proceedings of the 2nd International Conference on Intelligent Robotics and Applications
A bug-inspired algorithm for efficient anytime path planning
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Point to point sensor based path planning algorithm for autonomous mobile robots
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
A new hybrid navigation algorithm for mobile robots in environments with incomplete knowledge
Knowledge-Based Systems
EgressBug: a real time path planning algorithm for a mobile robot in an unknown environment
ADCONS'11 Proceedings of the 2011 international conference on Advanced Computing, Networking and Security
The problem of boundary following by a unicycle-like robot with rigidly mounted sensors
Robotics and Autonomous Systems
A hybrid navigation strategy for multiple mobile robots
Robotics and Computer-Integrated Manufacturing
A Method of Boundary Following by a Wheeled Mobile Robot Based on Sampled Range Information
Journal of Intelligent and Robotic Systems
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The Bug algorithm family are well-known robot navigation algorithms with proven termination conditions for unknown environments. Eleven variations of Bug algorithm have been implemented and compared against each other on the EyeSim simulation platform. This paper discusses their relative performance for a number of different environment types as well as practical implementation issues.