6 citations · 16 across the 14 of their papers we have counts for
15 papers
Can Causal Models Enhance Robot Navigation? Online Causal Adaptation for Real-Robot Navigation
Zhitao Liang, Alex Mitrevski, Emmanuel Dean +1
Causality in robotics aims to produce more interpretable and flexible robot behaviours by enabling robots to predict the consequences of their actions; however, deploying causal mo…
Evaluating Generative Models as Interactive Emergent Representations of Human-Like Collaborative Behavior
Shinas Shaji, Teena Chakkalayil Hassan, Sebastian Houben +1
Human-AI collaboration requires AI agents to understand human behavior for effective coordination. While advances in foundation models show promising capabilities in understanding…
COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation
Alex Mitrevski, Ayush Salunke
In the context of robot learning for manipulation, curated datasets are an important resource for advancing the state of the art; however, available datasets typically only include…
From Language to Action: Can LLM-Based Agents Be Used for Embodied Robot Cognition?
Shinas Shaji, Fabian Huppertz, Alex Mitrevski +1
In order to flexibly act in an everyday environment, a robotic agent needs a variety of cognitive capabilities that enable it to reason about plans and perform execution recovery.…
Reliable Robotic Task Execution in the Face of Anomalies
Bharath Santhanam, Alex Mitrevski, Santosh Thoduka +2
Learned robot policies have consistently been shown to be versatile, but they typically have no built-in mechanism for handling the complexity of open environments, making them pro…
Are Learning-Based Approaches Ready for Real-World Indoor Navigation? A Case for Imitation Learning
Nigitha Selvaraj, Alex Mitrevski, Sebastian Houben
Traditional indoor robot navigation methods provide a reliable solution when adapted to constrained scenarios, but lack flexibility or require manual re-tuning when deployed in mor…
Data-Driven Robot Fault Detection and Diagnosis Using Generative Models: A Modified SFDD Algorithm
Alex Mitrevski, Paul G. Plöger
This paper presents a modification of the data-driven sensor-based fault detection and diagnosis (SFDD) algorithm for online robot monitoring. Our version of the algorithm uses a c…
Adaptive Compliant Robot Control with Failure Recovery for Object Press-Fitting
Ekansh Sharma, Christoph Henke, Alex Mitrevski +1
Loading of shipping containers for dairy products often includes a press-fit task, which involves manually stacking milk cartons in a container without using pallets or packaging.…
Learning Human Body Motions from Skeleton-Based Observations for Robot-Assisted Therapy
Natalia Quiroga, Alex Mitrevski, Paul G. Plöger
Robots applied in therapeutic scenarios, for instance in the therapy of individuals with Autism Spectrum Disorder, are sometimes used for imitation learning activities in which a p…
Personalised Robot Behaviour Modelling for Robot-Assisted Therapy in the Context of Autism Spectrum Disorder
Michał Stolarz, Alex Mitrevski, Mohammad Wasil +1
In robot-assisted therapy for individuals with Autism Spectrum Disorder, the workload of therapists during a therapeutic session is increased if they have to control the robot manu…
Deploying Robots in Everyday Environments: Towards Dependable and Practical Robotic Systems
Alex Mitrevski, Santosh Thoduka, Argentina Ortega Sáinz +4
Robot deployment in realistic dynamic environments is a challenging problem despite the fact that robots can be quite skilled at a large number of isolated tasks. One reason for th…
Personalized Behaviour Models: A Survey Focusing on Autism Therapy Applications
Michał Stolarz, Alex Mitrevski, Mohammad Wasil +1
Children with Autism Spectrum Disorder find robots easier to communicate with than humans. Thus, robots have been introduced in autism therapies. However, due to the environmental…
Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation
Salman Omar Sohail, Alex Mitrevski, Nico Hochgeschwender +1
An important prerequisite for the reliability and robustness of a service robot is ensuring the robot's correct behavior when it performs various tasks of interest. Extensive testi…
Ontology-Assisted Generalisation of Robot Action Execution Knowledge
Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer
When an autonomous robot learns how to execute actions, it is of interest to know if and when the execution policy can be generalised to variations of the learning scenarios. This…
Robot Action Diagnosis and Experience Correction by Falsifying Parameterised Execution Models
Alex Mitrevski, Paul G. Plöger, Gerhard Lakemeyer
When faced with an execution failure, an intelligent robot should be able to identify the likely reasons for the failure and adapt its execution policy accordingly. This paper addr…