Our Research Projects
Object-level scene descriptions and attention in visual search
Capabilities and consequences of recursive, hierarchical information processing in visual systems
Mouse lock box
Intelligent kinematic problem solving
From understanding learners’ adaptive motivation and emotion to designing social learning companions
Knowledge-augmented face perception
Multimodal Interaction and Communication
Anticipation, prediction, and behavioral reliability in social interactions
Dynamical Collective Adaptation and Learning
Learning of intelligent swarm behavior
Architectural design principles for intelligence: Modularity vs Integrity
Efficient Multi-task Deep Learning
Dexterous and sensorized soft robotic hands
Methodology of the synthetic approach
Ethics of intelligence
Concept of intelligence
Developing exploration behavior
Ecologically rational strategy selection
Control models of perceptual stability
Mice learning in social interaction
The collective dynamics underlying personal and social information integration
Speed-accuracy tradeoffs in collective estimation
Learning to manipulate from demonstration (to escape from a room)
Hierarchical modularized vision system for perception-action loops
Analyzing human physical reasoning and strategy exploration on physical puzzles
Social responsiveness and its effects on learning in human-human and human-robot interaction
Shepherding behaviour in predator-prey interactions
Weighing personal and social information in cooperative problem solving
Differentiable interconnected recursive estimation as a principle of intelligence
Active tracking using bioinspired event-based vision – Towards improving interpretability of individual and collective behavior
Physical manipulation planning with differentiable closed-loop manipulation primitives
Big mouse data
Self-organised criticality in animal collectives
Behavioral contagion in human and artificial multi-agent systems
Generating robust and general real-world behavior by exploiting regularities at multiple levels of abstraction
Efficient model learning from data with partially incorrect labels
Modeling neurogenesis for continuous learning
Mouse lock box 2
Parrobots II
Adaptivity in learner-teacher interaction
Navigating the explore-exploit trade off in collective search
Evolution of collective cognition through individual-level selection
Internal and External Visual Information Sampling Using Eye-Movements and Overt Attention in Dynamic Scenes
From exploring basic maze elements to algorithmic rules for the escape room
Observational learning developing humans and artificial agents
Etami
Neural representations for lifelong learning
Integration projects
