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Learning Perceptual Locomotion on Uneven Terrains using Sparse Visual Observations
To proactively navigate and traverse various terrains, active use of visual perception becomes indispensable.
Deep Pairwise Learning To Rank For Search Autocomplete
Autocomplete (a. k. a "Query Auto-Completion", "AC") suggests full queries based on a prefix typed by customer.
Multi-expert learning of adaptive legged locomotion
Achieving versatile robot locomotion requires motor skills which can adapt to previously unseen situations.
Learning Pregrasp Manipulation of Objects from Ungraspable Poses
In robotic grasping, objects are often occluded in ungraspable configurations such that no pregrasp pose can be found, eg large flat boxes on the table that can only be grasped from the side.
Robotics
Reaching, Grasping and Re-grasping: Learning Fine Coordinated Motor Skills
The performance of learned policy is evaluated on three different tasks: grasping a static target, grasping a dynamic target, and re-grasping.
Robotics
Learning Whole-body Motor Skills for Humanoids
This paper presents a hierarchical framework for Deep Reinforcement Learning that acquires motor skills for a variety of push recovery and balancing behaviors, i. e., ankle, hip, foot tilting, and stepping strategies.
Force-guided High-precision Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction
Regulating contact forces with high precision is crucial for grasping and manipulating fragile or deformable objects.
Robotics
