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In the robot programming by demonstration (PbD) framework, the high-level representation of a skill in a series of action units gives an intuitive method to program and instruct robot behaviors. In this context we present a ROS (Robot Operating System) integrated architecture for learning households manipulation tasks by one observation. The user is observed during the execution of everyday tasks,...
In this paper, we present a novel interface for teleoperating ground vehicles. Obstacle avoidance with ground vehicles demands a high level of operator attention, typically distracting from the primary mission. The Ambient Obstacle Avoidance (AOA) was designed to allow operators to effectively perform a primary task, such as search, while still effectively avoiding obstacles. The AOA wraps around...
This paper proposes a technique for navigation of a monitoring robot to watch over persons in a dynamic environment. In order to make an environmental map around the robot, localization of the robot and path finding to the target position are required so that the robot can move autonomously in the dynamic environment. In this study the position of robot and the environmental map are obtained by using...
Robots have been stepping steadily into our daily-life. As humans are likely to exist in daily-life scenarios, “human-aware” becomes an essential point for robot navigation in these scenarios. Existing research works on human aware robot navigation rarely take potential human reaction into account in the motion planner. In contrast, we propose in this paper the concept of potential human reaction...
Robot navigation in human environments is an active research area that poses serious challenges. Among them, social navigation and human-awareness has gain lot of attention in the last years due to its important role in human safety and robot acceptance. Learning has been proposed as a more principled way of estimating the insights of human social interactions. In this paper, inverse reinforcement...
Search and rescue operations are often undertaken in smoke filled and noisy environments in which rescue teams must rely on haptic feedback for navigation and safe exit. In this paper, we discuss designing and evaluating a haptic interface to enable a human being to follow a robot through an environment with no-visibility. We first discuss the considerations that have led to our current interface...
For service robots operating in indoor environments, the crucial task of navigation is often complicated by the presence of people. Simply treating humans in the environment as additional (often moving) obstacles can violate the complex set of social rules by which people navigate around each other. In contrast, emulating human behavior and navigating in a socially appropriate manner could positively...
In this paper, an indoor navigation algorithm is proposed for the purpose of robot autonomous path planning. Due to the complex situation in indoor environments, it can cause a serious trouble for robot to identify the route during patrolling, especially for corner and door detection, which is the key step for intelligent navigation. To solve this problem, a kinect sensor is used for the door detection...
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