Human motion prediction based on object interactions

L Bruckschen, N Dengler… - … European Conference on …, 2019 - ieeexplore.ieee.org
In this paper, we consider the problem of predicting the navigation goal of a moving human
in an indoor environment. Knowledge about this goal can greatly increase the efficiency of …

Predicting human navigation goals based on Bayesian inference and activity regions

L Bruckschen, K Bungert, N Dengler… - Robotics and Autonomous …, 2020 - Elsevier
Anticipation of human movements is of great importance for service robots, as it is necessary
to avoid interferences and predict areas where human–robot collaboration may be needed …

Action prediction based on physically grounded object affordances in human-object interactions

V Dutta, T Zielinska - … Workshop on Robot Motion and Control …, 2017 - ieeexplore.ieee.org
Nowadays in human-robot interactions, robots must do reasoning beyond the present with
predicting the future actions. This task requires the subtle details inherent in human …

A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments

M Pfeiffer, G Paolo, H Sommer, J Nieto… - … on Robotics and …, 2018 - ieeexplore.ieee.org
This paper reports on a data-driven, interaction-aware motion prediction approach for
pedestrians in environments cluttered with static obstacles. When navigating in such …

Human-aware robot navigation by long-term movement prediction

L Bruckschen, K Bungert, N Dengler… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Foresighted, human-aware navigation is a prerequisite for service robots acting in indoor
environments. In this paper, we present a novel human-aware navigation approach that …

Map-Aware Human Pose Prediction for Robot Follow-Ahead

Q Jiang, B Susam, JJ Chao, V Isler - arXiv preprint arXiv:2403.13294, 2024 - arxiv.org
In the robot follow-ahead task, a mobile robot is tasked to maintain its relative position in
front of a moving human actor while keeping the actor in sight. To accomplish this task, it is …

People finding under visibility constraints using graph-based motion prediction

AEM Bayoumi, P Karkowski, M Bennewitz - International Conference on …, 2018 - Springer
An autonomous service robot often first has to search for a user to carry out a desired task.
This is a challenging problem, especially when this person moves around since the robot's …

Guest Editorial: Introduction to the Special Issue on Long-Term Human Motion Prediction

L Palmieri, R Andrey, J Mainprice… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
The articles in this special section focus on long term human motion prediction. This
represents a key ability for advanced autonomous systems, especially if they operate in …

Probabilistic human motion prediction via a Bayesian neural network

J Xu, X Chen, X Lan, N Zheng - 2021 IEEE international …, 2021 - ieeexplore.ieee.org
Human motion prediction is an important and challenging topic that has promising prospects
in efficient and safe human-robot-interaction systems. Currently, the majority of the human …

Follow the robot: Modeling coupled human-robot dyads during navigation

A Nanavati, XZ Tan, J Connolly… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Many robot applications being explored involve robots leading humans during navigation.
Developing effective robots for this task requires a way for robots to understand and model a …