LIDAR Research Vision
The Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) at Georgia Tech focuses on planning, control, decision-making, applied optimization, and learning algorithms of highly agile and human-cooperative robots maneuvering in dynamically-changing, unstructured, and adversarial environments. We are especially interested in computationally efficient optimization algorithms and formal methods for challenging robotics problems with formal guarantees on robustness, safety, autonomy, and real-time performance. Our LIDAR group aims at pushing the boundary of robot autonomy, intelligent decision, robust motion planning, and symbolic planning. Our long-term goal is to devise theoretical and algorithmic underpinnings for collaborative humanoid and mobile robots operating in unstructured and unpredictable environments while working alongside humans. Our team is led by a group of highly motivated and talented graduate and undergraduate students. Robotic applications primarily focus on agile bipedal and quadrupedal locomotion, manipulation, heterogeneous robot teaming, and mobile platforms for extreme environment maneuvering.
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