A review of tactile information: Perception and action through touch

Q Li, O Kroemer, Z Su, FF Veiga… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Recent progress in tactile sensing and sensors for robotic manipulation: can we turn tactile sensing into vision?

A Yamaguchi, CG Atkeson - Advanced Robotics, 2019 - Taylor & Francis
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 …

Making sense of vision and touch: Learning multimodal representations for contact-rich tasks

MA Lee, Y Zhu, P Zachares, M Tan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

Deep learning in robotics: Survey on model structures and training strategies

AI Károly, P Galambos, J Kuti… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Manipulation by feel: Touch-based control with deep predictive models

S Tian, F Ebert, D Jayaraman… - … on Robotics and …, 2019 - ieeexplore.ieee.org
Touch sensing is widely acknowledged to be important for dexterous robotic manipulation,
but exploiting tactile sensing for continuous, non-prehensile manipulation is challenging …

Pose-and-shear-based tactile servoing

J Lloyd, NF Lepora - The International Journal of Robotics …, 2024 - journals.sagepub.com
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 …

Autonomous learning of page flip** movements via tactile feedback

Y Zheng, FF Veiga, J Peters… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

RMPflow: A Geometric Framework for Generation of Multitask Motion Policies

CA Cheng, M Mukadam, J Issac… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Generating robot motion for multiple tasks in dynamic environments is challenging, requiring
an algorithm to respond reactively while accounting for complex nonlinear relationships …

Learning when to trust a dynamics model for planning in reduced state spaces

D McConachie, T Power, P Mitrano… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
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 …

The power of the senses: Generalizable manipulation from vision and touch through masked multimodal learning

C Sferrazza, Y Seo, H Liu, Y Lee… - 2024 IEEE/RSJ …, 2024 - ieeexplore.ieee.org
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 …