4 accepted papers
With the advancement of robot manipulator technologies, developing custom-made low-cost manipulator arms has gained increasing popularity in the field of robotics. However, these low-cost systems often lack precise sensing and control capabilities, making reliable collision detection particularly cr
Constraint-aware estimation of human intent is essential for robots to physically collaborate and interact with humans. Further, to achieve fluid collaboration in dynamic tasks intent estimation should be achieved in real-time. In this paper, we present a framework that combines online estimation an…
Motion planning techniques for quadrotors have advanced significantly over the past decade. Most successful planners have two stages: a front-end that determines a path that incorporates geometric (or kinematic or input) constraints and specifies the homotopy class of the trajectory, and a back-end…
Reinforcement Learning (RL) algorithms have achieved remarkable performance in decision making and control tasks by reasoning about long-term, cumulative reward using trial and error. However, during RL training, applying this trial-and-error approach to real-world robots operating in safety critica