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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 …
Haptic identification of objects using a modular soft robotic gripper
BS Homberg, RK Katzschmann… - 2015 IEEE/RSJ …, 2015 - ieeexplore.ieee.org
This work presents a soft hand capable of robustly gras** and identifying objects based
on internal state measurements. A highly compliant hand allows for intrinsic robustness to …
on internal state measurements. A highly compliant hand allows for intrinsic robustness to …
Survey of robotic manipulation studies intending practical applications in real environments-object recognition, soft robot hand, and challenge program and …
Aiming at accelerating the creation of new techniques on dexterous robotic manipulations,
this paper surveyed the recent results on object recognition, soft robotic hands, and …
this paper surveyed the recent results on object recognition, soft robotic hands, and …
Robust proprioceptive gras** with a soft robot hand
This work presents a soft hand capable of robustly gras** and identifying objects based
on internal state measurements along with a combined system which autonomously …
on internal state measurements along with a combined system which autonomously …
Soft-bubble grippers for robust and perceptive manipulation
N Kuppuswamy, A Alspach… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Manipulation in cluttered environments like homes requires stable grasps, precise
placement and robustness against external contact. Towards addressing these challenges …
placement and robustness against external contact. Towards addressing these challenges …
Tactile regrasp: Grasp adjustments via simulated tactile transformations
This paper presents a novel regrasp control policy that makes use of tactile sensing to plan
local grasp adjustments. Our approach determines regrasp actions by virtually searching for …
local grasp adjustments. Our approach determines regrasp actions by virtually searching for …
Learning to grasp without seeing
Can a robot grasp an unknown object without seeing it? In this paper, we present a tactile-
sensing based approach to this challenging problem of gras** novel objects without prior …
sensing based approach to this challenging problem of gras** novel objects without prior …
In-hand object pose estimation using covariance-based tactile to geometry matching
This letter presents a strategy to represent data from a tactile array sensor and match it to an
object's geometric features. Using that representation, a method is presented to localise a …
object's geometric features. Using that representation, a method is presented to localise a …
Pose estimation for planar contact manipulation with manifold particle filters
We investigate the problem of using contact sensors to estimate the pose of an object during
planar pushing by a fixed-shape hand. Contact sensors are unique because they inherently …
planar pushing by a fixed-shape hand. Contact sensors are unique because they inherently …
Pre-and post-contact policy decomposition for planar contact manipulation under uncertainty
We consider the problem of using real-time feedback from contact sensors to create closed-
loop pushing actions. To do so, we formulate the problem as a partially observable Markov …
loop pushing actions. To do so, we formulate the problem as a partially observable Markov …