A review of tactile information: Perception and action through touch
Tactile sensing is a key sensor modality for robots interacting with their surroundings. These
sensors provide a rich and diverse set of data signals that contain detailed information …
sensors provide a rich and diverse set of data signals that contain detailed information …
Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?
This paper surveys recently published literature on tactile sensing in robotic manipulation to
understand effective strategies for using tactile sensing and the issues involved in tactile …
understand effective strategies for using tactile sensing and the issues involved in tactile …
Making sense of vision and touch: Learning multimodal representations for contact-rich tasks
Contact-rich manipulation tasks in unstructured environments often require both haptic and
visual feedback. It is nontrivial to manually design a robot controller that combines these …
visual feedback. It is nontrivial to manually design a robot controller that combines these …
Deep learning in robotics: Survey on model structures and training strategies
The ever-increasing complexity of robot applications induces the need for methods to
approach problems with no (viable) analytical solution. Deep learning (DL) provides a set of …
approach problems with no (viable) analytical solution. Deep learning (DL) provides a set of …
Manipulation by feel: Touch-based control with deep predictive models
Touch sensing is widely acknowledged to be important for dexterous robotic manipulation,
but exploiting tactile sensing for continuous, non-prehensile manipulation is challenging …
but exploiting tactile sensing for continuous, non-prehensile manipulation is challenging …
Pose-and-shear-based tactile servoing
Tactile servoing is an important technique because it enables robots to manipulate objects
with precision and accuracy while adapting to changes in their environments in real-time …
with precision and accuracy while adapting to changes in their environments in real-time …
Autonomous learning of page flip** movements via tactile feedback
Robotic manipulation is challenging when both the objects being manipulated and the
tactile sensors are deformable. In this article, we addressed the interplay between the …
tactile sensors are deformable. In this article, we addressed the interplay between the …
RMPflow: A Geometric Framework for Generation of Multitask Motion Policies
Generating robot motion for multiple tasks in dynamic environments is challenging, requiring
an algorithm to respond reactively while accounting for complex nonlinear relationships …
an algorithm to respond reactively while accounting for complex nonlinear relationships …
Learning when to trust a dynamics model for planning in reduced state spaces
When the dynamics of a system are difficult to model and/or time-consuming to evaluate,
such as in deformable object manipulation tasks, motion planning algorithms struggle to find …
such as in deformable object manipulation tasks, motion planning algorithms struggle to find …
The power of the senses: Generalizable manipulation from vision and touch through masked multimodal learning
Humans rely on the synergy of their senses for most essential tasks. For tasks requiring
object manipulation, we seamlessly and effectively exploit the complementarity of our …
object manipulation, we seamlessly and effectively exploit the complementarity of our …