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Found 5 papers, 2 papers with code
Learning Tool Morphology for Contact-Rich Manipulation Tasks with Differentiable Simulation
We demonstrate the effectiveness of our method for designing new tools in several scenarios, such as winding ropes, flipping a box and pushing peas onto a scoop in simulation.
Learning Feasibility to Imitate Demonstrators with Different Dynamics
The goal of learning from demonstrations is to learn a policy for an agent (imitator) by mimicking the behavior in the demonstrations.
Learning User-Preferred Mappings for Intuitive Robot Control
Existing approaches to teleoperation typically assume a one-size-fits-all approach, where the designers pre-define a mapping between human inputs and robot actions, and every user must adapt to this mapping over repeated interactions.
Learning from My Partner's Actions: Roles in Decentralized Robot Teams
When teams of robots collaborate to complete a task, communication is often necessary.
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
In SNTG, a graph is constructed based on the predictions of the teacher model, i. e., the implicit self-ensemble of models.
