22 citations · 97 across the 19 of their papers we have counts for
6 papers · 1 filter
Toward a Surgeon-in-the-Loop Ophthalmic Robotic Apprentice using Reinforcement and Imitation Learning
Amr Gomaa, Bilal Mahdy, Niko Kleer +1
Robot-assisted surgical systems have demonstrated significant potential in enhancing surgical precision and minimizing human errors. However, existing systems cannot accommodate in…
It's all about you: Personalized in-Vehicle Gesture Recognition with a Time-of-Flight Camera
Amr Gomaa, Guillermo Reyes, Michael Feld
Despite significant advances in gesture recognition technology, recognizing gestures in a driving environment remains challenging due to limited and costly data and its dynamic, ev…
Adaptive User-centered Neuro-symbolic Learning for Multimodal Interaction with Autonomous Systems
Amr Gomaa, Michael Feld
Recent advances in machine learning, particularly deep learning, have enabled autonomous systems to perceive and comprehend objects and their environments in a perceptual subsymbol…
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Sahar Abdelnabi, Amr Gomaa, Sarath Sivaprasad +2
There is an growing interest in using Large Language Models (LLMs) in multi-agent systems to tackle interactive real-world tasks that require effective collaboration and assessing…
SynthoGestures: A Novel Framework for Synthetic Dynamic Hand Gesture Generation for Driving Scenarios
Amr Gomaa, Robin Zitt, Guillermo Reyes +1
Creating a diverse and comprehensive dataset of hand gestures for dynamic human-machine interfaces in the automotive domain can be challenging and time-consuming. To overcome this…
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Amr Gomaa, Bilal Mahdy, Niko Kleer +3
Recent advances in machine learning models allowed robots to identify objects on a perceptual nonsymbolic level (e.g., through sensor fusion and natural language understanding). Ho…