6 citations · 16 across the 14 of their papers we have counts for
4 papers · 1 filter
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.…