Translator Disclaimer
16 April 2008 Low-cost semi-autonomous manipulation technique for explosive ordnance disposal robots
Author Affiliations +
Robotic manipulators used on current EOD robotic platforms exhibit very few autonomous capabilities. This lack of autonomy forces the operator to completely control manipulator movements. With the increasing complexity of robotic manipulators, this can prove to be a very complex and tedious task. The development of autonomous capabilities for platform navigation are currently being extensively researched and applied to EOD robots. While autonomous manipulation has also been researched, this technology has yet to appear in fielded EOD robotic systems. As a result, there is a need for the exploration and development of manipulator automation within the scope of EOD robotics. In addition, due to the expendable nature of EOD robotic assets, the addition of this technology needs to add little to the overall cost of the robotic system. To directly address the need for a low-cost semi-autonomous manipulation capability for EOD robots, the Naval Explosive Ordnance Disposal Technology Division (NAVEODTECHDIV) proposes the Autonomous Robotic Manipulator (ARM). The ARM incorporates several semi-autonomous manipulation behaviors including point-and-click movement, user-defined distance movement, user-defined angle positioning, memory locations to save and recall manipulator positions, and macros to memorize and repeat multi-position repetitive manipulator movements. These semi-autonomous behaviors will decrease an EOD operator's time on target by reducing the manipulation workload in a user-friendly fashion. This conference paper will detail the background of the project, design of the prototype, algorithm development, implementation, results, and future work.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrew Czop, Michael J. Del Signore, and Kurt Hacker "Low-cost semi-autonomous manipulation technique for explosive ordnance disposal robots", Proc. SPIE 6962, Unmanned Systems Technology X, 69620M (16 April 2008);


A multimodal vision sensor for autonomous driving
Proceedings of SPIE (October 07 2019)
Control system of warehouse robots' position
Proceedings of SPIE (June 22 2015)
Robot training through incremental learning
Proceedings of SPIE (May 23 2011)
Achieving autonomous navigation in ground robotic vehicles
Proceedings of SPIE (December 29 2004)

Back to Top