P Kratzer, NB Midlagajni, M Toussaint… - 2020 29th IEEE …, 2020 - ieeexplore.ieee.org
Motion prediction in unstructured environments is a difficult problem and is essential for safe and efficient human-robot space sharing and collaboration. In this work, we focus on …
AT Le, P Kratzer, S Hagenmayer… - 2021 30th IEEE …, 2021 - ieeexplore.ieee.org
In this paper, we tackle the problem of human-robot coordination in sequences of manipulation tasks. Our approach integrates hierarchical human motion prediction with Task …
Personal robots assisting humans must perform complex manipulation tasks that are typically difficult to specify in traditional motion planning pipelines, where multiple objectives …
Numerical optimization has become a popular approach to plan smooth motion trajectories for robots. However, when sharing space with humans, balancing properly safety, comfort …
A Bolotnikova, S Courtois… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
We envision a humanoid robot to serve as a source of additional motion-support forces in assistance for frail persons. In this context, we present a control strategy for a humanoid to …
S Lee, J Yang - International Design Engineering …, 2023 - asmedigitalcollection.asme.org
Weight tossing is a complex motion that combines multiple manual material handling tasks. The combined motion reduces labor time but comes at the cost of increased physical strain …
Generally speaking, motion describes an object's movement in the real world, which changes its location or orientation (Elert 1998). In particular, this movement can be applied …
X Xiu, YW Chen, X Wang - US Patent 12,137,244, 2024 - Google Patents
A method for controlling bit-width for bi-directional optical flow (BDOF) for video coding includes decoding a first reference picture and a second reference picture, the second …
MH Kurtoglu, Y Seker, E Samur, E Ugur - 2020 - motionpredictionicra2020.github.io
Fig. 1: CNMP framework for learning full body motion. Given multiple trajectories for a single or multiple behaviors, the system learns a robust representation that encodes the distribution …