197 citations · 273 across the 24 of their papers we have counts for
17 papers · 1 filter
Optimising robotic operation speed with edge computing over 5G networks: Insights from selective harvesting robots
Usman A. Zahidi, Arshad Khan, Tsvetan Zhivkov +8
Selective harvesting by autonomous robots will be a critical enabling technology for future farming. Increases in inflation and shortages of skilled labour are driving factors that…
neuROSym: Deployment and Evaluation of a ROS-based Neuro-Symbolic Model for Human Motion Prediction
Sariah Mghames, Luca Castri, Marc Hanheide +1
Autonomous mobile robots can rely on several human motion detection and prediction systems for safe and efficient navigation in human environments, but the underline model architec…
Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
Luca Castri, Gloria Beraldo, Sariah Mghames +2
Deploying robots in human-shared environments requires a deep understanding of how nearby agents and objects interact. Employing causal inference to model cause-and-effect relation…
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications
Luca Castri, Gloria Beraldo, Sariah Mghames +2
Deploying robots in human-shared spaces requires understanding interactions among nearby agents and objects. Modelling cause-and-effect relations through causal inference aids in p…
Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios
Luca Castri, Sariah Mghames, Marc Hanheide +1
Identifying the main features and learning the causal relationships of a dynamic system from time-series of sensor data are key problems in many real-world robot applications. In t…
Collection and Evaluation of a Long-Term 4D Agri-Robotic Dataset
Riccardo Polvara, Sergi Molina Mellado, Ibrahim Hroob +2
Long-term autonomy is one of the most demanded capabilities looked into a robot. The possibility to perform the same task over and over on a long temporal horizon, offering a high…
Environment-aware Interactive Movement Primitives for Object Reaching in Clutter
Sariah Mghames, Marc Hanheide
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 e…
Causal Discovery of Dynamic Models for Predicting Human Spatial Interactions
Luca Castri, Sariah Mghames, Marc Hanheide +1
Exploiting robots for activities in human-shared environments, whether warehouses, shopping centres or hospitals, calls for such robots to understand the underlying physical intera…
Learning on the Job: Long-Term Behavioural Adaptation in Human-Robot Interactions
Francesco Del Duchetto, Marc Hanheide
In this work, we propose a framework for allowing autonomous robots deployed for extended periods of time in public spaces to adapt their own behaviour online from user interaction…
Benchmark of visual and 3D lidar SLAM systems in simulation environment for vineyards
Ibrahim Hroob, Riccardo Polvara, Sergi Molina +2
In this work, we present a comparative analysis of the trajectories estimated from various Simultaneous Localization and Mapping (SLAM) systems in a simulation environment for vine…
Navigate-and-Seek: a Robotics Framework for People Localization in Agricultural Environments
Riccardo Polvara, Francesco Del Duchetto, Gerhard Neumann +1
The agricultural domain offers a working environment where many human laborers are nowadays employed to maintain or harvest crops, with huge potential for productivity gains throug…
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
Vaisakh Shaj, Philipp Becker, Dieter Buchler +5
Estimating accurate forward and inverse dynamics models is a crucial component of model-based control for sophisticated robots such as robots driven by hydraulics, artificial muscl…
Interactive Movement Primitives: Planning to Push Occluding Pieces for Fruit Picking
Sariah Mghames, Marc Hanheide, Amir Ghalamzan E
Robotic technology is increasingly considered the major mean for fruit picking. However, picking fruits in a dense cluster imposes a challenging research question in terms of motio…
Are you still with me? Continuous Engagement Assessment from a Robot's Point of View
Francesco Del Duchetto, Paul Baxter, Marc Hanheide
Continuously measuring the engagement of users with a robot in a Human-Robot Interaction (HRI) setting paves the way towards in-situ reinforcement learning, improve metrics of inte…
Artificial Intelligence for Long-Term Robot Autonomy: A Survey
Lars Kunze, Nick Hawes, Tom Duckett +2
Autonomous systems will play an essential role in many applications across diverse domains including space, marine, air, field, road, and service robotics. They will assist us in o…
STAM: A Framework for Spatio-Temporal Affordance Maps
Francesco Riccio, Roberto Capobianco, Marc Hanheide +1
Affordances have been introduced in literature as action opportunities that objects offer, and used in robotics to semantically represent their interconnection. However, when consi…
The STRANDS Project: Long-Term Autonomy in Everyday Environments
Nick Hawes, Chris Burbridge, Ferdian Jovan +30
Thanks to the efforts of the robotics and autonomous systems community, robots are becoming ever more capable. There is also an increasing demand from end-users for autonomous serv…