Modeling, learning, perception, and control methods for deformable object manipulation

H Yin, A Varava, D Kragic - Science Robotics, 2021 - science.org
Perceiving and handling deformable objects is an integral part of everyday life for humans.
Automating tasks such as food handling, garment sorting, or assistive dressing requires …

Modeling of deformable objects for robotic manipulation: A tutorial and review

VE Arriola-Rios, P Guler, F Ficuciello… - Frontiers in Robotics …, 2020 - frontiersin.org
Manipulation of deformable objects has given rise to an important set of open problems in
the field of robotics. Application areas include robotic surgery, household robotics …

Robotic manipulation and sensing of deformable objects in domestic and industrial applications: a survey

J Sanchez, JA Corrales… - … Journal of Robotics …, 2018 - journals.sagepub.com
We present a survey of recent work on robot manipulation and sensing of deformable
objects, a field with relevant applications in diverse industries such as medicine (eg surgical …

Multimodal tactile sensing fused with vision for dexterous robotic housekee**

Q Mao, Z Liao, J Yuan, R Zhu - Nature Communications, 2024 - nature.com
As robots are increasingly participating in our daily lives, the quests to mimic human abilities
have driven the advancements of robotic multimodal senses. However, current perceptual …

Tacchi: A pluggable and low computational cost elastomer deformation simulator for optical tactile sensors

Z Chen, S Zhang, S Luo, F Sun… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Simulation is widely applied in robotics research to save time and resources. There have
been several works to simulate optical tactile sensors that leverage either a smoothing …

A soft barometric tactile sensor to simultaneously localize contact and estimate normal force with validation to detect slip in a robotic gripper

T De Clercq, A Sianov… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Soft tactile sensing technologies provide the potential to endow a sense of touch to robots
for gras** and manipulating objects. During the execution of such tasks, having accurate …

Modeling and simulation of robotic gras** in simulink through simscape multibody

M Pozzi, GM Achilli, MC Valigi… - Frontiers in Robotics and …, 2022 - frontiersin.org
Gras** and dexterous manipulation remain fundamental challenges in robotics, above all
when performed with multifingered robotic hands. Having simulation tools to design and test …

Toward image-guided automated suture gras** under complex environments: A learning-enabled and optimization-based holistic framework

B Lu, B Li, W Chen, Y **, Z Zhao, Q Dou… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
To realize a higher-level autonomy of surgical knot tying in minimally invasive surgery (MIS),
automated suture gras**, which bridges the suture stitching and loo** procedures, is an …

Real-time gras** strategies using event camera

X Huang, M Halwani, R Muthusamy, A Ayyad… - Journal of Intelligent …, 2022 - Springer
Robotic vision plays a key role for perceiving the environment in gras** applications.
However, the conventional framed-based robotic vision, suffering from motion blur and low …

Deep learning with tactile sequences enables fruit recognition and force prediction for damage-free gras**

R Huang, W Zheng, B Zhang, J Zhou, Z Cui… - … and Electronics in …, 2023 - Elsevier
Damage-free gras** of deformable objects has been a long-standing difficult problem in
the field of robotics. Humans can perceive the physical properties of objects and apply …