Description
The US Department of Agriculture (USDA) is seeking a Quadrupedal Unmanned Ground Vehicle System to support the development of a multi-agent autonomous system for detecting animal intrusion in leafy green produce fields. The system should be capable of autonomous navigation in novel field environments while minimizing crop damage. The platform should include an onboard autonomy system, a hot swappable spare battery for extended operation, and support for user-added external payloads to enable integration of sensing and imaging technologies.
• Minimum speed of 1.5 m/s
• Minimum step height of 0.3 m
• Maximum weight of 75 lb
• Minimum battery size of 500 Wh
• Minimum payload interfaces of 2
• Minimum supplied payload power of 150 W
• Ingress protection of IP 54 or better
• Python SDK
• Nvidia Isaac simulation support
• Support for joint-level control of the UGV
• Access to API used for object detection and avoidance
• Multi-band WiFi control with option for user-installed alternative communication