Objectives

• Develop an advanced self-navigating mobile robotics platform.
• Support the development of practical applications in healthcare, manufacturing, retail, education and other markets.
• Help robot designers, application developers and market innovation specialists develop affordable mobile robotic solutions.
• Combine an open platform and a tablet-device interface.
• Detect and avoid people, objects and hazards, including stairs.
• Integrate touch, voice and gesture control.
• Take advantage of technological advancements in wireless connectivity, computational horsepower, artificial intelligence, sensors and power efficiency.

Objectives

• Develop semi-autonomous capabilities for UGVs, including retro-traverse, click-to-drive and self-righting.
• Increase situational awareness for robot operators.
• Reduce manpower needs for missions.
• Conduct user assessments and incorporate the feedback.

Objectives

• Develop Model Transition Control (MTC) framework for Dynamic Stability Control (DSC) of small, high-speed Unmanned Ground Vehicles (UGVs).
• Develop Dynamic Transitional Learning (DTL) algorithm for rapid learning of robot behaviors.
• Develop MTC DSC behavior using DTL for simulated high-speed vehicles.
• Develop rollover prevention behavior for the iRobot^® PackBot®.
• Develop active weight shifting behavior for PackBot.

Objectives

• Integrate the Stingray prototype of the iRobot^® PackBot® with a Chatten Head-Aimed Remote Viewer (HARV).
• Develop semi-autonomous driver assist behaviors that increase stability and reduce the cognitive load on the robot operator.
• Demonstrate immersive teleoperation at high speeds.