![]() ![]() Learning Re-Grabbing Policies Based on Grabbed Garbage Weight Estimation Using In-Bucket Images for Waste Cranes Finally, the exploration performance of the proposed controller is demonstrated by using a polishing skill on an unknown 3D surface, where the robot is observed to autonomously investigate the unknown surface from top to bottom along the edges and corners. Second, we use the proposed controller to autonomously investigate the unknown environment via the local curvature observer, designed to be a dynamic process. First, we develop a unified force-impedance control approach in which the force controller significantly improves the geometry following performance due to the ensured contact. for updating predefined tactile skill policies accordingly. To address this, we propose a tactile exploration technique to observe the local curvatures of the physical constraints such as corners, edges, etc. Such robots should therefore be designed to be adaptive to environmental uncertainties such as changing geometry and contact-loss. Keywords: Intelligent robotics, Autonomous robotic systems, Robotics technologyĪbstract: Tactile robots can perform complex interaction skills, e.g., polishing. Tactile Exploration Using Unified Force-Impedance Control We show results in simulation for the surface reconstruction and volume estimate of topographic data. Our algorithm finds feasible trajectories which minimize the uncertainty of the volume estimate. A Gaussian Process-based model incorporates information collected from measurements given statistical prior information about the terrain, from which the volume estimate is computed. We propose an approach for volume estimation for autonomous systems using visual features for indoor localization and surface reconstruction from 2D-LiDAR measurements. Keywords: Information and sensor fusion, Intelligent robotics, Mobile robotsĪbstract: Volume estimation in large indoor spaces is an important challenge in robotic inspection of industrial warehouses. The answer to the latter question is clearly more important for engineering, for design and for control!ĭrone-Based Volume Estimation in Indoor Environments “But if resilience is a quality the essential question becomes just “how does resilience come about”. Whether resilience is one or the other also leads to different questions, if resilience is assumed to be a quantity, the essential question is simply “how much resilience is there”. Namely, that we cannot measure something unless we fully understand it first. ![]() quantitative knowledge is almost always better.” Since 1891, We have therefore conventionally but wrongly assumed that we cannot understand something unless we can measure it, even though it actually is the other way around. It is essential because we tend tacitly to accept the statement of William Thompson (aka Lord Kelvin) that:”Qualitative knowledge is real, but. Keywords: Cognitive aspects of automation systems and humansĪbstract: The question is essential and not just rhetorical. ![]()
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