Titlebook: Robotics Research; The 18th Internation Nancy M. Amato,Greg Hager,Miguel Torres-Torriti Conference proceedings 2020 Springer Nature Switzer

brassy

LURE

鬼魂

大雨

A Bayesian Active Learning Approach to Adaptive Motion Planningnsistent performance across all situations a robot encounters. We are interested in planning algorithms that . by actively inferring the structure of the valid configuration space, and focusing on potentially good solutions. Consider the problem of evaluating edges on a graph to discover a good path

coagulate

Materials That Make Robots Smartral properties in the control loop are well understood, materials can take an active role during control by tight integration of sensors, actuators, computation and communication. We envision such materials to abstract functionality, therefore making the construction of intelligent robots more strai

lattice

Pragmatic-Pedagogic Value Alignmentas the value-alignment problem. In robotics, value alignment is key to the design of collaborative robots that can integrate into human workflows, successfully inferring and adapting to their users’ objectives as they go. We argue that a meaningful solution to value alignment must combine multi-agen

標準

The Economic Case for Cloud-Based Computation for Robot Motion Planningrobots will need access to extensive computational resources. Cloud-based computers have the potential to provide the needed computing power, while lowering robot cost, space, and energy requirements. Academia and industry are already exploring the cloud as a purveyor of data in a wide variety of ap

xanthelasma

Autonomous Agents in the Wild: Human Interaction Challenges framework was developed to characterize these challenges in terms of the risk of the operations and the user expertise. Introducing autonomous agents into our everyday lives has resulted in recent accidents that are similar to accidents the aviation industry experienced and subsequently mitigated d

虛構(gòu)的東西

內(nèi)閣

Human-Assisted Humanoid Robot Control humanoid robots are now quite capable of operating in a very structured and well-known environment, especially on flat surface in indoor environment. However, the deployment of humanoid robots into real situations and applications is still limited because of the cases when there is still high risk