Cables are ubiquitous in many settings and it is often useful to untangl...
Commercial and industrial deployments of robot fleets often fall back on...
Large-scale semantic image annotation is a significant challenge for
lea...
Robotic Surgical Assistants (RSAs) are commonly used to perform minimall...
Safe exploration is critical for using reinforcement learning (RL) in
ri...
Reinforcement learning (RL) algorithms have shown impressive success in
...
Robot manipulation of unknown objects in unstructured environments is a
...
Robot manipulation for untangling 1D deformable structures such as ropes...
We study (ϵ, δ)-PAC best arm identification, where a
decision-maker must...
Disentangling two or more cables requires many steps to remove crossings...
Corrective interventions while a robot is learning to automate a task pr...
We consider the automation of the well-known peg-transfer task from the
...
Automation of surgical tasks using cable-driven robots is challenging du...
Untangling ropes, wires, and cables is a challenging task for robots due...
We study exploration in stochastic multi-armed bandits when we have acce...
Safety remains a central obstacle preventing widespread use of RL in the...
We explore learning pixelwise correspondences between images of deformab...
Robotic fabric manipulation is challenging due to the infinite dimension...
Automation of surgical subtasks using cable-driven robotic surgical
assi...
Robotic manipulation of deformable 1D objects such as ropes, cables, and...
Sample-based learning model predictive control (LMPC) strategies have
re...
Recent advances in depth-sensing have significantly increased accuracy,
...
Sequential pulling policies to flatten and smooth fabrics have applicati...
Existing on-policy imitation learning algorithms, such as DAgger, assume...
Reinforcement learning (RL) for robotics is challenging due to the diffi...
Generalizing manipulation skills to new situations requires extracting
i...