Programming CHIP for the IJCAI-95 Robot Competition

The University of Chicago's robot, CHIP, is part of the Animate Agent Project, aimed at understanding the software architecture and knowledge representations needed to build a general-purpose robotic assistant. CHIP's strategy for the Office Cleanup event of the 1995 Robot Competition and Exhibition was to scan an entire area systematically and, as collectible objects were identified, pick them up and deposit them in the nearest appropriate receptacle. This article describes CHIP and its various systems and the ways in which these elements combined to produce an effective entry to the robot competition.

[1]  R. James Firby,et al.  The RAP language manual , 1995 .

[2]  R. E. Kahn,et al.  Understanding people pointing: the Perseus system , 1995, Proceedings of International Symposium on Computer Vision - ISCV.

[3]  R. James Firby.  Task Networks for Controlling Continuous Processes , 1994, AIPS.

[4]  Daniel P. Huttenlocher,et al.  A multi-resolution technique for comparing images using the Hausdorff distance , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Alberto Elfes,et al.  Using occupancy grids for mobile robot perception and navigation , 1989, Computer.

[6]  Michael J. Swain,et al.  An Architecture for Vision and Action , 1995, IJCAI.

[7]  Yoram Koren,et al.  The vector field histogram-fast obstacle avoidance for mobile robots , 1991, IEEE Trans. Robotics Autom..

[8]  Robert James Firby,et al.  Adaptive execution in complex dynamic worlds , 1989 .