Sting Racing represented the GT entry into the DARPA  Urban Grand Challenge competition which took place on November 3, 2007. For RIM@GT it is part of a longer term effort into intelligent vehicle technology. Situation awareness, increased safety, and smart transportation poses interesting challenges to our society. Dr. Christensen serves as the principal investigator for the project.

Research Projects

Cognitive Robotics

This project study methods to deploy of mobile manipulation systems for assistance to people in everyday situations. Scenarios include both workplace applications and domestic use of systems. A particular domain is assistance to elderly and handicapped. Cognitive robotics involves design of systems that uses sensory perception for situation awareness, interactive acquisition of skills and tasks, and interpretation of actions in the environment. Research involves Mobile Manipulation, Real-Time SLAM, Control Design, Categorial Perception.

Cognitive Consumer Robots

The cognitive consumer robotics project is an effort to design the next generation consumer robots for multi-purpose domestic applications. The project is a collaboration with SKKU, Yujin Robotics and Bonavision. Dr. Christensen serves as the GT PI for the project

Mobile Manipulation

Mobile robotics is by now a fairly mature problem for structured and engineered environments. However, interacting with the environment has so far only been studied in limited and fairly simple scenarios. The present research effort uses a manipulation system mounted on top of a Segway RMP for studies on mobile manipulation including use of force, visual and laser based perception. The problem studied includes recognition, sensor based servoing, platform-actuator integration, navigation, safe operation in the presence of humans and Human Robot Interaction.

Virtual Manufacturing

It is becoming increasingly important to simulation large scale manufacturing systems to enable early evaluation of concepts. In addition such simulation environments that can used as a framework for benchmarking of algorithms. In a collaboration with NIST/MEL a virtual environment for evaluation of manufacturing concepts is under development. The system is in part used for VMAC competition that takes place every year at ICRA.

Autonomy for Micro Vehicles

An essential competence for mobile platforms exploring unknown environments is the ability to not get lost and a representation of the environment that can be communicated / exchanged with other intelligents such as robots or people. Multi-robot scenarios poses a number of new challenges in terms of map integration and scaleability. In this project we study methods for multi-sensory integration of features across sonar, laser, and vision including features such as points, walls, objects and regions. In addition we study integration of semantic information into the estimation process to allow for both qualitative and quantitative evaluation of position. Issues related to scaleability, complexity, robustness and active recovery of new information are considered essential. The project is part of the ARL Micro-Autonomous Systems Technology (MAST) - Collaborative Technology Alliance.