Home » Wolfram Burgard
University of Technology Nuremberg
Nuremberg
Germany
Primary Areas: AI Reasoning Methods; AI-Based Methods; AI-enabled Robotics; Aerial Robotics; Aerial Systems: Mechanics and Control; Agent-Based Systems; Agricultural Automation; Animation and Simulation; Assembly; Automation in Life Sciences: Biotechnology, Pharmaceutical and Health Care; Autonomous Agents; Autonomous Navigation; Autonomous Vehicle Navigation; Benchmark; Big Data in Robotics and Automation; Brain Machine Interface; Brain Machine Interfaces; Brain-Machine Interface; Calibration and Identification; Cognitive Human-Robot Interaction; Collision Avoidance; Collision Detection and Avoidance; Compliance and Impedance Control; Compliant Assembly; Computer Vision; Computer Vision for Automation; Computer Vision for Other Robotic Applications; Computer Vision for Robotics and Automation; Control Architectures and Programming; Deep Learning for Visual Perception; Deep Learning in Robotics and Automation; Design; Distributed Robot Systems; Domestic Robots; Domestic Robots and Home Automation; Dynamics; Failure Detection and Recovery; Field Robots; Force and Tactile Sensing; Gesture, Posture and Facial Expressions; Health Care Management; Human Centered Robotics; Human Detection and Tracking; Human detection & tracking; Human-Centered Automation; Human-Centered Robotics; Human-Robot Interaction; Imitation Learning; Industrial Robots; Integrated Planning and Control; Integrated Task and Motion Planning; Intelligent Transportation Systems; Learning and Adaptive Systems; Learning from Demonstration; Localization; Manipulation Planning; Manipulation Planning and Control; Mapping; Medical Robots and Systems; Medical Systems, Healthcare, and Assisted Living; Mobile Manipulation; Model Learning; Model Learning for Control; Motion Control of Manipulators; Motion and Path Planning; Motion and Trajectory Generation; Motor Skill Learning; Multi-legged Robots; Navigation; Neurorobotics; Novel Deep Learning Methods; Object Detection, Segmentation and Categorization; Object detection, segmentation, categorization; Optimization and Optimal Control; Path Planning for Multiple Mobile Robots or Agents; Perception for Grasping and Manipulation; Personal Robots; Physical Human-Robot Interaction; Planning, Scheduling and Coordination; Probability and Statistical Methods; RGB-D Perception; Range Sensing; Reactive and Sensor-Based Planning; Recognition; Rehabilitation Robotics; Reinforecment Learning; Representation Learning; Robot Companions and Social Human-Robot Interaction; Robot Learning; Robot Vision; Robot navigation; Robotics in Agriculture and Forestry; SLAM; Self-Supervised Learning; Semantic Scene Understanding; Sensor Fusion; Sensor Networks; Sensor-based Control; Service Robots; Social Human-Robot Interaction; Task Planning; Virtual Reality and Interfaces; Visual Learning; Visual Navigation; Visual Place Recognition; Visual Tracking; Visual-Based Navigation
Start Date- 1 July 2020
End Date- 30 June 2025
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