What can robotics research learn from computer vision research?

Understand

The computer vision and robotics research communities are each strong.

• However progress in computer vision has become turbo-charged in recent years due to big data, GPU computing, novel learning algorithms and a very effective research methodology.
• By comparison, progress in robotics seems slower.
• It is true that robotics came later to exploring the potential of learning -- the advantages over the well-established body of knowledge in dynamics, kinematics, planning and control is still being debated, although reinforcement learning seems to offer real potential.