36 citations · 271 across the 74 of their papers we have counts for
11 papers · 1 filter
Attentive Feature Aggregation or: How Policies Learn to Stop Worrying about Robustness and Attend to Task-Relevant Visual Cues
Nikolaos Tsagkas, Andreas Sochopoulos, Duolikun Danier +4
The adoption of pre-trained visual representations (PVRs), leveraging features from large-scale vision models, has become a popular paradigm for training visuomotor policies. Howev…
Enhancing Tactile-based Reinforcement Learning for Robotic Control
Elle Miller, Trevor McInroe, David Abel +2
Achieving safe, reliable real-world robotic manipulation requires agents to evolve beyond vision and incorporate tactile sensing to overcome sensory deficits and reliance on ideali…
Human-in-the-loop Optimisation in Robot-assisted Gait Training
Andreas Christou, Andreas Sochopoulos, Elliot Lister +1
Wearable robots offer a promising solution for quantitatively monitoring gait and providing systematic, adaptive assistance to promote patient independence and improve gait. Howeve…
Assist-as-needed Control for FES in Foot Drop Management
Andreas Christou, Elliot Lister, Georgia Andreopoulou +2
Foot drop is commonly managed using Functional Electrical Stimulation (FES), typically delivered via open-loop controllers with fixed stimulation intensities. While users may manua…
Preference-Based Long-Horizon Robotic Stacking with Multimodal Large Language Models
Wanming Yu, Adrian Röfer, Abhinav Valada +1
Pretrained large language models (LLMs) can work as high-level robotic planners by reasoning over abstract task descriptions and natural language instructions, etc. However, they h…
Poke and Strike: Learning Task-Informed Exploration Policies
Marina Y. Aoyama, Joao Moura, Juan Del Aguila Ferrandis +1
In many dynamic robotic tasks, such as striking pucks into a goal outside the reachable workspace, the robot must first identify the relevant physical properties of the object for…