Understanding Vision, Manipulation & Productivity Technology, Computer Design & Symbol Manipulation (Vol. 2)

The broad range of material included in these volumes suggests to the newcomer thenature of the field of artificial intelligence, while those with some background in AI willappreciate the detailed coverage of the work being done at MIT. The results presented are related tothe underlying methodology. Each chapter is introduced by a short note outlining the scope of theproblem begin taken up or placing it in its historical context.

Contents, VolumeII: Understanding Vision: Representing and Computing Visual Information; Visual Detection of LightSources; Representing and Analyzing Surface Orientation; Registering Real Images Using SyntheticImages; Analyzing Curved Surfaces Using Reflectance Map Techniques; Analysis of Scenes from a MovingViewpoint; Manipulation and Productivity Technology: Force Feedback in Precise Assembly Tasks; ALanguage for Automatic Mechanical Assembly; Kinematics, Statics, and Dynamics of Two-DimensionalManipulators; Understanding Manipulator Control by Synthesizing Human Handwriting; Computer Designand Symbol Manipulation: The LISP Machine; Shallow Binding in LISP 1.5; Optimizing Allocation andGarbage Collection of Spaces; Compiler Optimization Based on Viewing LAMBDA as RENAME Plus GOTO;Control Structure as Patterns of Passing Messages.