Touch sensing can help robots understand their surrounding environment, and in particular the objects they interact with. To this end, roboticists have, in the last few decades …
F Zhu, J Fu - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
This paper aims to improve the rapidity and accuracy of the State of Health (SOH) assessment for lithium-ion battery. By integrating the Unscented Kalman Filter (UKF) and …
C Wang, X Zhang, X Zang, Y Liu, G Ding, W Yin, J Zhao - Sensors, 2020 - mdpi.com
As there come to be more applications of intelligent robots, their task object is becoming more varied. However, it is still a challenge for a robot to handle unfamiliar objects. We …
A new nonparametric Bayesian-based motion planning algorithm for autonomous plume source term estimation (STE) and source seeking (SS) is presented in this paper. The …
X Dong, L Chisci, Y Cai - Signal Processing, 2021 - Elsevier
An improved adaptive variational Bayesian cubature information fusion algorithm for nonlinear multi-sensor systems with uncertain noise statistics is proposed in this paper …
T Chen, A Shenoy, A Kolinko, S Shah… - 2021 IEEE/RSJ …, 2021 - ieeexplore.ieee.org
A human hand can grasp a desired number of objects at once from a pile based solely on tactile sensing. To do so, a robot needs to make a grasp in a pile, sense the number of …
Legged robot navigation in extreme environments can hinder the use of cameras and lidar due to darkness, air obfuscation or sensor damage, whereas proprioceptive sensing will …
Tracking the pose of an object while it is being held and manipulated by a robot hand is difficult for vision-based methods due to significant occlusions. Prior works have explored …