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08/23/2023
Language Reward Modulation for Pretraining Reinforcement Learning
Using learned reward functions (LRFs) as a means to solve sparse-reward ...
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02/06/2023
Languages are Rewards: Chain of Hindsight Finetuning using Human Feedback
Learning from human preferences is important for language models to be h...
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09/23/2021
Leveraging distributed contact force measurements for slip detection: a physics-based approach enabled by a data-driven tactile sensor
Grasping objects whose physical properties are unknown is still a great ...
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01/07/2021
Zero-shot sim-to-real transfer of tactile control policies for aggressive swing-up manipulation
This paper aims to show that robots equipped with a vision-based tactile...
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12/21/2020
Sim-to-real for high-resolution optical tactile sensing: From images to 3D contact force distributions
The images captured by vision-based tactile sensors carry information ab...
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12/11/2020
A Vision-based Sensing Approach for a Spherical Soft Robotic Arm
Sensory feedback is essential for the control of soft robotic systems an...
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03/05/2020
Learning the sense of touch in simulation: a sim-to-real strategy for vision-based tactile sensing
Data-driven approaches to tactile sensing aim to overcome the complexity...
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10/31/2019
Towards vision-based robotic skins: a data-driven, multi-camera tactile sensor
This paper describes the design of a multi-camera optical tactile sensor...
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09/19/2019
Vision-Based Proprioceptive Sensing for Soft Inflatable Actuators
This paper presents a vision-based sensing approach for a soft linear ac...
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09/09/2019
Ground truth force distribution for learning-based tactile sensing: a finite element approach
Skin-like tactile sensors provide robots with rich feedback related to t...
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12/07/2018