4 citations · 4 across the 4 of their papers we have counts for
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Planning Coordinated Human-Robot Motions with Neural Network Full-Body Prediction Models
Philipp Kratzer, Marc Toussaint, Jim Mainprice
Numerical optimization has become a popular approach to plan smooth motion trajectories for robots. However, when sharing space with humans, balancing properly safety, comfort and…
Hierarchical Human-Motion Prediction and Logic-Geometric Programming for Minimal Interference Human-Robot Tasks
An T. Le, Philipp Kratzer, Simon Hagenmayer +2
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 and Moti…
MoGaze: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze
Philipp Kratzer, Simon Bihlmaier, Niteesh Balachandra Midlagajni +3
As robots become more present in open human environments, it will become crucial for robotic systems to understand and predict human motion. Such capabilities depend heavily on the…
Anticipating Human Intention for Full-Body Motion Prediction in Object Grasping and Placing Tasks
Philipp Kratzer, Niteesh Balachandra Midlagajni, Marc Toussaint +1
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…
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks
Philipp Kratzer, Marc Toussaint, Jim Mainprice
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,…
Motion Prediction with Recurrent Neural Network Dynamical Models and Trajectory Optimization
Philipp Kratzer, Marc Toussaint, Jim Mainprice
Predicting human motion in unstructured and dynamic environments is difficult as humans naturally exhibit complex behaviors that can change drastically from one environment to the…