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In this paper, a framework of human-robot shared control is developed based on finding the solution to an optimization problem. Human dynamics are taken into account in the analysis of the coupled human-robot system, and objectives of both human and robot are considered. Approximate dynamic programming is employed to solve the optimization problem in the presence of unknown human and robot dynamics...
In this paper, we consider the problem of overcoming a flight of stairs in an uncertain environment with an autonomous tracked robot. A complete autonomous stair climbing module is developed which handles a number of tasks involved in stair climbing and a divide and conquer approach is adopted where the stair climbing challenge is further divided into several individual tasks such as stairs detection...
This paper describes a fully autonomous mobile urban robot-X1, which can perform multiple tasks autonomously in an unknown urban environment without human guidance, including mobile reconnaissance, target searching, and object manipulation. The mission-oriented design, which allows reliability and extensibility of the robotic system, includes a high degree of modularity for both hardware and software...
This paper proposes a novel approach, Simultaneous Path Planning and Topological Mapping (SP2ATM), to address the problem of path planning by registering the topology of the perceived dynamic environment as opposed to the conventional grid representation. The local topology is encoded, concurrent and incremental with path planning, by extracting only the admissible free space. The resulting Admissible...
In this paper, we develop decentralized control to drive a swarm of mobile agents into a moving target region while avoiding collisions among themselves. This is achieved with the help of target potential functions and collision avoidance potential functions in Lyapunov synthesis. A basic control framework is designed on a kinematic model. There are neither requirements for pre-specified desired trajectories...
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