Robotic Algorithms & Motion Planning Labratory (RAMP)

An Ultimate goal in robotics is to create autonomous robots. Such robots will accept high-level descriptions of the tasks and carry them out without human intervention. The main theme underlying our research here at RAMP Lab is the development of algorithms and planners for the automatic synthesis of robotic motions and manipulation tasks. Within this broad framework, the research has focused on model-based and sensor-based path planning, grasp planning and dexterous manipulation. The main objective has been incorporating sensing into geometric reasoning and developing a general framework for sensor-based path planning for general robot-sensor systems. We emphasize developing and implementing an approach that is practical and efficient for more complex robots such as eye-in-hand systems. More recently, our focus has been on developing autonomous capabilities for autonomous mobile manipulation and Reinforcement Learning.