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Found 5 papers, 1 papers with code
Working Backwards: Learning to Place by Picking
By doing so, the policy can generalize to object placement scenarios outside of the training environment without privileged information (e. g., placing a plate picked up from a table).
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects
We present a framework for solving long-horizon planning problems involving manipulation of rigid objects that operates directly from a point-cloud observation, i. e. without prior object models.
Tactile Dexterity: Manipulation Primitives with Tactile Feedback
This paper develops closed-loop tactile controllers for dexterous manipulation with dual-arm robotic palms.
Robotics Systems and Control Systems and Control
A Data-Efficient Approach to Precise and Controlled Pushing
Decades of research in control theory have shown that simple controllers, when provided with timely feedback, can control complex systems.
Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching
Since product images are readily available for a wide range of objects (e. g., from the web), the system works out-of-the-box for novel objects without requiring any additional training data.
