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Fine Grained Robotics
(MIT Artificial Intelligence Laboratory, 1991-02)
Fine grained robotics is the idea of solving problems utilizing multitudes of very simple machines in place of one large complex entity. Organized in the proper way, simple machines and simple behaviors can lead to emergent ...
A User's Guide to the AI Lab: Getting Started at Tech Square
(MIT Artificial Intelligence Laboratory, 1991-08-18)
Correction of Force Errors for Flexible Manipulators in Quasi-Static Conditions
(MIT Artificial Intelligence Laboratory, 1990-12)
This paper deals with the problem of controlling the interactions of flexible manipulators with their environment. For executing a force control task, a manipulator with intrinsic (mechanical) compliance has some advantages ...
The Evolution of Society
(MIT Artificial Intelligence Laboratory, 1991-08-05)
We re-examine the evolutionary stability of the tit-for-tat (tft) strategy in the context of the iterated prisoner's dilemma, as introduced by Axelrod and Hamilton. This environment involves a mixture of populations of ...
Injection Molding at the MIT Artificial Intelligence Lab
(MIT Artificial Intelligence Laboratory, 1995-02-23)
This paper describes the injection molding equipment at the MIT Artificial Intelligence Lab and how to use it. Topic covered include mold design, insert molding, safety, and material properties.
AI Lab Faculty
(MIT Artificial Intelligence Laboratory, 1992-09)
This document is meant to introduce new graduate students in the MIT AI Lab to the faculty members of the laboratory and their research interests. Each entry consists of the faculty member's picture, if available, some ...
An Experiment in Knowledge Acquisition for Software Requirements
(MIT Artificial Intelligence Laboratory, 1990-05)
The Requirements Apprentice (RA) is a demonstration system that assists a human analyst in the requirements-acquisition phase of the software-development process. By applying the RA to another example it has been possible ...
Don't Loop, Iterate
(MIT Artificial Intelligence Laboratory, 1990-05)
I describe an iteration macro for Common Lisp that is clear, efficient, extensible, and in excellent taste.