The goal of this research is to enable multi-limbed robots to climb vertical rock using techniques similar to those developed by human climbers. This paper first considers a planar three-limbed robot, then a 3-D four-...
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It can be difficult to generalize the solutions to grasping and manipulation problems because even small differences in problem context can require qualitatively different solutions. For example, small changes in the ...
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For humanoid robots able to assist humans in their daily life, the capability for adequate interaction with human operators is a key feature. If one considers that more than 60% of human communication is conducted non...
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For humanoid robots able to assist humans in their daily life, the capability for adequate interaction with human operators is a key feature. If one considers that more than 60% of human communication is conducted non-verbally (by using facial expressions and gestures), an important research topic is how interfaces for this non-verbal communication can be developed. To achieve this goal, several robotic heads have been designed. However, it remains unclear how exactly such a head should look like and what skills it should have to be able to interact properly with humans. This paper describes an approach that aims at answering some of these design choices. Based on parameters obtained from a simulation system that was used to test facial expressions, the design of a human-like head developed at the University of Kaiserslautern is described. Additionally, the mechatronical design of the head and the accompanying neck joint are given. Finally, a real-time capable method for image based face detection is presented, which is a basic ability needed for interaction with humans
It can be difficult to generalize the solutions to grasping and manipulation problems because even small differences in problem context can require qualitatively different solutions. For example, small changes in the ...
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It can be difficult to generalize the solutions to grasping and manipulation problems because even small differences in problem context can require qualitatively different solutions. For example, small changes in the shape of an object to be grasped can necessitate different grasp strategies. In this paper, we introduce the action schema framework that represents generalized skills in a functional way such that all viable ways of accomplishing a task are represented as instantiations of the generalized skill. We also propose an on-line algorithm for learning how to instantiate the skill in a context-appropriate way. We test this approach with a robotic grocery bagging task where a dexterous humanoid robot learns to make correct qualitative decisions regarding how to grasp everyday grocery items and drop them in a paper bag
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and generalize between patterns of simultaneous...
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ISBN:
(纸本)0262195348
We propose a probabilistic, generative account of configural learning phenomena in classical conditioning. Configural learning experiments probe how animals discriminate and generalize between patterns of simultaneously presented stimuli (such as tones and lights) that are differentially predictive of reinforcement. Previous models of these issues have been successful more on a phenomenological than an explanatory level: They reproduce experimental findings but, lacking formal foundations, provide scant basis for understanding why animals behave as they do. We present a theory that clarifies seemingly arbitrary aspects of previous models while also capturing a broader set of data. Key patterns of data, e.g. concerning animals' readiness to distinguish patterns with varying degrees of overlap, are shown to follow fromstatistical inference.
The diagnosis of gastrointestinal diseases within the small intestine has been greatly advanced with the introduction of the endoscopic microcapsule in recent years. In an effort to increase its reliability and expand...
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This paper describes an autonomous assistive mobile robot that aids stroke patient rehabilitation by providing monitoring, encouragement, and reminders. The robot navigates autonomously, monitors the patient's arm...
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This paper describes an automatic system for 3D face modeling using frontal and profile images taken by an ordinary digital camera. The system consists of four subsystems including frontal feature detection, profile f...
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The diagnosis of gastrointestinal diseases within the small intestine has been greatly advanced with the introduction of the endoscopic microcapsule in recent years. In an effort to increase its reliability and expand...
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The diagnosis of gastrointestinal diseases within the small intestine has been greatly advanced with the introduction of the endoscopic microcapsule in recent years. In an effort to increase its reliability and expand its functionality, a mechanism for stopping and locomoting the capsule within the digestive tract is proposed in this paper. This mechanism, actuated by shape memory alloy wires, utilizes a synthetic microfibrillar adhesive similar to the attachment mechanisms employed by beetles. This fibrillar attachment mechanism is a combination of molecular adhesion caused by van der Waals forces and liquid adhesion caused by capillary forces. The molecular adhesion is enhanced by the presence of microfibers, and the liquid adhesion arises from a secretion from the beetle's footpad. A synthetic version of the beetle's footpad was fabricated from PDMS using a silicon mold. Another version was created from SU-8 using photolithography. Testing revealed decent adhesion with glass and prepared pig intestine in vitro both with a silicone oil to simulate the secretion and without it. A prototype robot with simple polymer adhesive pads for stopping successfully attached and detached inside a flexible vinyl tube. An inch worm locomotion mechanism is proposed and is in the preliminary stages of fabrication and testing
Particle filtering is a very popular technique for sequential state estimation problem. However its convergence greatly depends on the balance between the number of particles/hypotheses and the fitness of the dynamic ...
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