Experiment 1. a Human agent and robot agent. b Error rates for... | Download Scientific Diagram
From Platform to Knowledge Graph: Evolution of Laboratory Automation | JACS Au
AestheticNet: deep convolutional neural network for person identification from visual aesthetic | SpringerLink
Experiment 1. a Human agent and robot agent. b Error rates for... | Download Scientific Diagram
Application of modified Asimov's laws to the agent of home service robot using state, operator, and result (Soar) - Chien Van Dang, Mira Jun, Yong-Bin Shin, Jae-Won Choi, Jong-Wook Kim, 2018
Experiment 1. a Human agent and robot agent. b Error rates for... | Download Scientific Diagram
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Evaluation of impression difference of a domestic mobile manipulator with autonomous and/or remote control in fetch-and-carry tasks: Advanced Robotics: Vol 34, No 20
Towards designing telepresence robot navigation for people with disabilities | Emerald Insight
Sensors | Free Full-Text | Multiple Groups of Agents for Increased Movement Interference and Synchronization
Informal flow diagram (translated into English) of informal tier. | Download Scientific Diagram
Deep-LfD: Deep robot learning from demonstrations - Software Impacts
Sensors | Free Full-Text | Semantic Data Mining in Ubiquitous Sensing: A Survey
Robotics | Free Full-Text | Learning Task Knowledge from Dialog and Web Access
Intelligent agent for real-world applications on robotic edutainment and humanized co-learning | SpringerLink
Applied Sciences | Free Full-Text | Real-Time Whole-Body Imitation by Humanoid Robots and Task-Oriented Teleoperation Using an Analytical Mapping Method and Quantitative Evaluation
Valorant's latest Agent is a robot with an ability that lets anyone revive him | Engadget
Installing the Robot
Technology is Key to Surviving in the Modern Insurance Market
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Experiment 1. a Human agent and robot agent. b Error rates for... | Download Scientific Diagram
Influencing the Learning Experience Through Affective Agent Feedback in a Real-World Treasure Hunt | Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems
