A: Motion Intelligence |
How can we integrate perception with action to allow robots to move smartly and assist humans in unexpected, every-day environments?
Future robotic systems will have to autonomously operate in unpredictable environments and to smoothly interact with humans. This requires the control of complex bodies with many degrees of freedom based on input from multimodal sensory systems.
Related Research Projects:
CITEC unites research groups from biology, cognitive psychology, biomechanics, and robotics in order to endow robots with a so far unachieved level of motion intelligence, ranging from the planning and execution of goal-directed behavior to the functional recognition of objects and finally to the understanding of another agent's intentions.
In order to accomplish a level of sensorimotor intelligence comparable to that of animals and humans, the research area focusses on the following
Research Topics
- Bioinspired Approaches for Complexity Reduction
- Shaping Physical Interaction
- The Sensorimotor Basis of Cognition
- Martin Egelhaaf
- Helge Ritter
Related Research Projects:
- Talking Stick - sensorimotor grounding of language
- Investigating flying insect navigation strategies: computer modelling and robots
- Analysis of a sensory-motor interface: from optic flow parameters to action selection
- Learning of controller behaviour within the control basis framework
- Perceptual grounding of spatial frames of reference in communication and action
- From cognitive representation to technical synthesis of manual action
- The cognitive structure and control of full body movements - experimental analysis and computational modeling
- Robots using bioinspired principles of complexity reduction for visual navigation
- Action representation and focus of attention in the perception of intentions, events and objects
- Action selection based on multi-modal anchoring
- Sensory-motor representations and error learning – experimental analysis of manual intelligence in first order reality, virtual reality and augmented reality
- Spatial movement concepts in human-robot-shared environments
- Building a manual interaction database populated with physics-based models
- Visual robot navigation with topological maps
- Analyzing Learning, Interaction and Automatization in Speedstacking
- Action Representation and Focus of Attention in the Perception of Intentions, Events and Objects
- Adaptive alignment in human-robot-cooperation
- Adaptive Machine Learning of Interaction Sequences
- An Autonomic Computing Approach for Systemic Self-Regulation
- Bioinspired Navigation Strategies
- Biomimetic Elastic Joint Drives for Robotics
- Brain oscillations and synchronization during language processing and action instruction
- Closed-Loop Auditory Interactions
- Cognitive components of sensorimotor adaptation and motor planning in manual action
- Comparative analysis of RF-transmitted neural activity underlying visual flight control in insects
- Conceptual motorics - generation and analysis of meaningful hand movements for robot gesture
- Designing a multi-legged robot as a test-bed for motion intelligence mechanisms
- Evolutionary Software Integration Architecture for HRI
- Human Accompanied Mobile Robot Exploration
- Imitation Mechanisms of Social Resonance for Embodied Agents
- Interaction Space
- Investigating flying insect navigation strategies: computer modelling and robots
- Object detection in natural optic flow fields by insects and birds
- Real-Time Physics Simulations
- Sampling-based planning for goal-directed robot control
- Significance of mechanisms of motion adaptation
- Sonification for Applications in the Natural Sciences and Cognitive Interaction Technology
- Spatial learning strategies, visual information acquisition and efficiency of local navigation
- Tangible Auditory Interface Design
- Task-dependent control of eye movements and mobile visual sensors
- Visually controlled behaviour in complex 3D-environments: Analysis of animal behaviour, computer simulation and robot experiments
- Cognitive interaction technology for medicine
