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Sim2Real for Robotic Manipulation
Sim-to-real techniques for manipulation, covering perception, grasping, end-to-end policies, and domain-randomization methods that help transfer from simulation to real robots.
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Keypoints for Robotic Manipulation
How to generate labels for and learn 3D keypoints and instance segmentation, and how to use them for pick-and-place and contact-rich manipulation tasks.
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Heuristics for Robotic Grasping
A survey of grasp-sampling heuristics for parallel-jaw and suction grippers, plus linear-push and toppling policies for improving picks in cluttered bins.
