Wageningen University

Farm Technology Group Prof.dr.ir. Eldert van Henten, program leader. Eldert is the head of the Farm Technolo- gy Group. He will contribute with his vast knowledge of agro-food, 20 years’ experience with vision and robotics in agriculture, and robotic systems integration resulting in proof-of-concept systems of harvesting robots, vi- sion-based weeding systems, egg-collecting robots, and…

University of Eindhoven

Control Systems Technology Group Prof.dr.ir. Maarten Steinbuch. Maarten is a Distinguished University Professor and head of the Control Systems Technology Group within the Mechanical Engineering Department. He will contrib- ute with his vast experience with (control of) mechatronic and robotic systems. Prof.dr.ir. Herman Bruyninckx, project leader of P7 “Packaging Robotics”. Herman is a part-time professor…

University of Twente

Precision Engineering Prof.dr.ir. Dannis Brouwer PDEng, project leader of P4. Dannis is an associate professor (with promotion rights) holding the chair of Precision Engineering. He will contribute with his substantial background in the high-tech systems industry (3 year at Philips CFT and 5 years at Demcon) and his knowledge of flexures for large range of…

Delft University of Technology

Cognitive Robotics Prof.dr.ir. Robert Babuska, research line leader of RL1. Robert is a full professor of Intelligent Con- trol and Robotics and section leader of Learning and Autonomous Control in the Cognitive Robotics Group and will contribute with over 25 years of experience with research in computational intelligence, machine learning, control, and system identification, including…

University of Amsterdam

Informatics Institute Prof.dr. Theo Gevers, project leader of P1. Theo is a full professor and head of the Computer Vision group at the University of Amsterdam. He will contribute with his vast knowledge of computer vision, perception, machine learning, deep learning, 3D (object) reconstruction, and image understanding, with appli- cations in the agro-food, healthcare, and…

P1: Active Perception

Most of the current robotic systems are based on a traditional sense-plan-act cycle, where perception and action are viewed as individual processes. This approach, however, cannot deal with the challenges that the agro-food environment poses. As perception and action are tightly coupled through the interactions of the robot with the environment, the scientific challenge is…

P2: World Modeling

Current robotic systems are pre-programmed to deal with very specific tasks on a limited set of objects very well-defined in terms of location, shape, size and material properties. To deal with variability and enable flexibility, robotic systems need to reason about the objects in their environment, or world. To that end, they need (to build)…