Prediction of human full-body movements with motion optimization and recurrent neural networks

P Kratzer, M Toussaint… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Human movement prediction is difficult as humans naturally exhibit complex behaviors that
can change drastically from one environment to the next. In order to alleviate this issue, we …

Anticipating human intention for full-body motion prediction in object grasping and placing tasks

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 …

Hierarchical human-motion prediction and logic-geometric programming for minimal interference human-robot tasks

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 …

Auto-conditioned recurrent mixture density networks for learning generalizable robot skills

H Zhang, E Heiden, S Nikolaidis, JJ Lim… - arXiv preprint arXiv …, 2018 - arxiv.org
Personal robots assisting humans must perform complex manipulation tasks that are
typically difficult to specify in traditional motion planning pipelines, where multiple objectives …

Planning Coordinated Human-Robot Motions with Neural Network Full-Body Prediction Models

P Kratzer, M Toussaint, J Mainprice - arXiv preprint arXiv:2210.13317, 2022 - arxiv.org
Numerical optimization has become a popular approach to plan smooth motion trajectories
for robots. However, when sharing space with humans, balancing properly safety, comfort …

Adaptive task-space force control for humanoid-to-human assistance

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 …

Three-Dimensional Symmetric Tossing Motion Prediction–A Pilot Study

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 …

[PDF][PDF] Interpretable analysis of motion data

B Hosseini - 2021 - scholar.archive.org
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 …

Bit-width control for bi-directional optical flow

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 …

[PDF][PDF] Predicting Whole Body Motion Trajectories using Conditional Neural Movement Primitives

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 …