Kalman filter: historical overview and review of its use in robotics 60 years after its creation

C Urrea, R Agramonte - Journal of Sensors, 2021 - Wiley Online Library
Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

Robot-assisted disassembly sequence planning with real-time human motion prediction

ML Lee, W Liu, S Behdad, X Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article presents a disassembly task planning algorithm considering human–robot
collaboration (HRC) and human behavior prediction (HBP). Unlike assembly procedures …

Era: Expert retrieval and assembly for early action prediction

LG Foo, T Li, H Rahmani, Q Ke, J Liu - European Conference on Computer …, 2022 - Springer
Early action prediction aims to successfully predict the class label of an action before it is
completely performed. This is a challenging task because the beginning stages of different …

Bayesian deep graph matching for correspondence identification in collaborative perception

P Gao, H Zhang - Robotics Science and Systems (RSS), 2021 - par.nsf.gov
Correspondence identification is essential for multi-robot collaborative perception, which
aims to identify the same objects in order to ensure consistent references of the objects by a …

Real-time recognition of team behaviors by multisensory graph-embedded robot learning

B Reily, P Gao, F Han, H Wang… - … International Journal of …, 2022 - journals.sagepub.com
Awareness of team behaviors (eg, individual activities and team intents) plays a critical role
in human–robot teaming. Autonomous robots need to be aware of the overall intent of the …

Pose uncertainty aware movement synchrony estimation via spatial-temporal graph transformer

J Li, A Bhat, R Barmaki - … of the 2022 International Conference on …, 2022 - dl.acm.org
The concept of movement synchrony is derived from the scientific study of interacting dyads
in the autism field. Automated movement synchrony estimation has been achieved by …

Simultaneous learning from human pose and object cues for real-time activity recognition

B Reily, Q Zhu, C Reardon… - 2020 IEEE international …, 2020 - ieeexplore.ieee.org
Real-time human activity recognition plays an essential role in real-world human-centered
robotics applications, such as assisted living and human-robot collaboration. Although …