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Found 8 papers, 2 papers with code
Learning from Demonstration using a Curvature Regularized Variational Auto-Encoder (CurvVAE)
Learning intricate manipulation skills from human demonstrations requires good sample efficiency.
Robotic Dough Shaping
The ability to deform soft objects remains a great challenge for robots due to difficulties in defining the problem mathematically.
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups
While existing robotic systems for feeding people with mobility limitations focus on solitary dining, commensality, the act of eating together, is often the practice of choice.
Desk Organization: Effect of Multimodal Inputs on Spatial Relational Learning
We examine the problem of desk organization: learning how humans spatially position different objects on a planar surface according to organizational ''preference''.
Material Recognition via Heat Transfer Given Ambiguous Initial Conditions
We also found that robots can overcome this ambiguity using two temperature sensors with different temperatures prior to contact.
Material Recognition
Robotics
Grasping with Chopsticks: Combating Covariate Shift in Model-free Imitation Learning for Fine Manipulation
Billions of people use chopsticks, a simple yet versatile tool, for fine manipulation of everyday objects.
Leveraging Post Hoc Context for Faster Learning in Bandit Settings with Applications in Robot-Assisted Feeding
Our key insight is that we can leverage the haptic context we collect during and after manipulation (i. e., "post hoc") to learn some of these properties and more quickly adapt our visual model to previously unseen food.
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items
A successful robot-assisted feeding system requires bite acquisition of a wide variety of food items.
