1. The Biological Model: the Human Body and its Sensory Systems.- The central nervous system as a low and high level control system.- Proprioceptive feedback for sensory-motor control.- Physiology and psychophysics in taste and smell.- The physiology and psychophysics of touch.- 2. The Artificial Counterpart: Robots and their Sensory Functions. General Memarks.- Steps toward making robots see.- An overview of local environment sensing in robotics applications.- Force and tactile sensing for robots.- 3. Physics of Transduction and Transducing Techniques.- Basic transduction mechanisms and techniques.- Analogs of biological tissues for mechanoelectrical transduction: Tactile sensors and muscle-like actuators.- Solid state transducers.- Fibre optic sensors in advanced robotic systems.- 4. Applications.- Models of errors and mistakes in machine perception: First results for computer vision range measurements.- Holographic techniques.- Electrical proximity sensors.- Ultrasonic sensors.- Acoustic imaging in three dimensions.- Gas sensors: Towards an artificial nose.- Development and application of humidity sensors.- Development and application of chemical sensors in liquids.- 5. Integration of Sensory Systems.- Integration of robot sensory systems.- Multisensory feedback including cooperative robots.- Active vision: Integration of fixed and mobile cameras.- Sensors for mobile robots.- Multimedia sensory systems for the solution of the error recovery problem.- Pattern recognition in multidimensional perception: Robots and humans.- An iterative and interactive simulation method to reconstruct unknown inputs contributing to known outputs of neuronal systems.- M. Hulliger.- Non-conventional smart colour sensing in robotics.- R.F. Wolffenbuttel.- Adaptable accomodation in assembly.- C.J. Bland.- List of Participants.

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