1. Guidance (Kinematics, Control, and Trajectory Generation).- On the Kinematics of Wheeled Mobile Robots.- Kinematic Modeling for Feedback Control of an Omnidirectional Wheeled Mobile Robot.- An Automatic Guidance System of a Self-Controlled Vehicle.- Local Path Control for an Autonomous Vehicle.- Running with Symmetry.- Smooth Local Path Planning for Autonomous Vehicles.- 2. Sensors.- Sensor Models and Multisensor Integration.- Location Estimation and Uncertainty Analysis for Mobile Robots.- Inertial Navigation.- Continuous Transmission F.M. Sonar with One Octave Bandwidth and No Blind Time.- An Optical Rangefinder for Autonomous Robot Cart Navigation.- Error Modeling in Stereo Navigation.- 3. Navigation (Position and Course Estimation).- Statistical Theory of Passive Location Systems.- Estimating Uncertain Spatial Relationships in Robotics.- The Kalman Filter: An Introduction to Concepts.- Maintaining Representations of the Environment of a Mobile Robot.- Blanche: Position Estimation for an Autonomous Robot Vehicle.- 4. Map Representation.- Sonar-Based Real-World Mapping and Navigation.- Cartographic Databases.- Spatial Planning: A Configuration Space Approach.- Simplified Voronoi Diagrams.- Solving the Find-Path Problem by Good Representation of Free Space.- 5. Sensing Strategies.- Computational Complexity of Art Gallery Problems.- Sensing Strategies for Disambiguating Among Multiple Objects in Known Poses.- Probing Convex Polytopes.- 6. Motion Planning.- An Automatic Motion Planning System for a Convex Polygonal Mobile Robot in 2-Dimensional Polygonal Space.- Path-Planning Strategies for a Point Mobile Automaton Moving Amidst Unknown Obstacles of Arbitrary Shape.- Motion Planning for an Autonomous Vehicle.- Real-Time Obstacle Avoidance for Manipulators and Mobile Robots.- 7. Systems.- The Stanford Cart and the CMU Rover.- An Integrated Navigation and Motion Control System for Autonomous Multisensory Mobile Robots.- A Mars Rover for the 1990's.- A Mobile Robot: Sensing, Planning, and Locomotion.