Vision-Based Contact Localization Without Touch or Force Sensing
Nov 1, 1010
LIV: Language-Image Representations and Rewards for Robotic Control
Jul 1, 1010
VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training
Jan 1, 1010
Planning Goals for Exploration
Jan 1, 1010
Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching
Jan 1, 1010
Learning a Meta-Controller for Dynamic Grasping
Jan 1, 1010
Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning
Sep 13, 13130
Discovering Deformable Keypoint Pyramids
Jul 25, 25250
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $ f $-Advantage Regression
Jul 1, 1010
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
May 15, 15150
Femtomolar SARS-CoV-2 Antigen Detection Using the Microbubbling Digital Assay with Smartphone Readout Enables Antigen Burden Quantitation and Dynamics Tracking
Sep 1, 1010
An Exploration of Embodied Visual Exploration
Mar 1, 1010
MAVRIC: Morphology-Agnostic Visual Robotic Control
We demonstrate visual control within 20 seconds on a robot with unknown morphology, from a single uncalibrated RGBD camera.
May 17, 17170
DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor with Application to In-Hand Manipulation
We design and demonstrate a new tactile sensor for in-hand tactile manipulation in a robotic hand.
May 17, 17170
More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch
By exploiting high precision tactile sensing with deep learning, robots can effectively iteratively adjust their grasp configurations to boost grasping performance from 65% to 94%.
Jan 1, 1010
End-to-End Policy Learning For Active Visual Categorization
Active visual perception with realistic and complex imagery can be formulated as an end-to-end reinforcement learning problem, the solution to which benefits from additionally exploiting the auxiliary task of action-conditioned future prediction.
Jan 1, 1010
Learning Image Representations Tied to Egomotion from Unlabeled Video
An agent's continuous visual observations include information about how the world responds to its actions. This can provide an effective source of self-supervision for learning visual representations.
Jan 1, 1010