Search Results for author:
Found 9 papers, 3 papers with code
Learning Manipulation Tasks in Dynamic and Shared 3D Spaces
Automating the segregation process is a need for every sector experiencing a high volume of materials handling, repetitive and exhaustive operations, in addition to risky exposures.
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
Deploying robots in human-shared spaces requires understanding interactions among nearby agents and objects.
Efficient Causal Discovery for Robotics Applications
Using robots for automating tasks in environments shared with humans, such as warehouses, shopping centres, or hospitals, requires these robots to comprehend the fundamental physical interactions among nearby agents and objects.
Qualitative Prediction of Multi-Agent Spatial Interactions
The third approach implements a purely data-driven network for motion prediction, the output of which is post-processed to predict QTC spatial interactions.
A Neuro-Symbolic Approach for Enhanced Human Motion Prediction
Reasoning on the context of human beings is crucial for many real-world applications especially for those deploying autonomous systems (e. g. robots).
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
Exploiting robots for activities in human-shared environments, whether warehouses, shopping centres or hospitals, calls for such robots to understand the underlying physical interactions between nearby agents and objects.
Environment-aware Interactive Movement Primitives for Object Reaching in Clutter
The majority of motion planning strategies developed over the literature for reaching an object in clutter are applied to two dimensional (2-d) space where the state space of the environment is constrained in one direction.
Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking
Nonetheless, existing approaches to planning pushing movements in cluttered environments either are computationally expensive or only deal with 2-D cases and are not suitable for fruit picking, where it needs to compute 3-D pushing movements in a short time.
Wavelet-based temporal models of human activity for anomaly detection in smart robot-assisted environments
This paper, therefore, presents a new approach for temporal modelling of long-term human activities with smart-home sensors, which is used to detect anomalous situations in a robot-assisted environment.
