54 citations · 98 across the 35 of their papers we have counts for
41 papers
RingNav: Task-Shaped Circular Memory for Visual Heading
Naitri Rajyaguru, Aryan Tajne, Stephen Jardim +2
Tiny robots have limited computation and memory, yet visual navigation systems often maintain more state than a task requires. We ask whether persistent memory can instead be shape…
What to Attend, What to Keep: Skill-Conditioned Visuotactile Representation with Progress-Guided Event Memory
Amir-Hossein Shahidzadeh, Seungjae Lee, Eadom Dessalene +5
Robotic manipulation integrates vision, touch, and language, whose importance shifts across stages: vision guides reaching, while touch, through its evolution over time, decides gr…
Real-time Motion Segmentation with Event-based Normal Flow
Sheng Zhong, Zhongyang Ren, Xiya Zhu +3
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to ha…
NeuroAI and Beyond
Jean-Marc Fellous, Gert Cauwenberghs, Cornelia Fermüller +2
Neuroscience and Artificial Intelligence (AI) have made significant progress in the past few years but have only been loosely inter-connected. Based on a workshop held in August 20…
Object Pose Estimation through Dexterous Touch
Amir-Hossein Shahidzadeh, Jiyue Zhu, Kezhou Chen +4
Robust object pose estimation is essential for manipulation and interaction tasks in robotics, particularly in scenarios where visual data is limited or sensitive to lighting, occl…
A Real-Time Event-Based Normal Flow Estimator
Dehao Yuan, Cornelia Fermüller
This paper presents a real-time, asynchronous, event-based normal flow estimator. It follows the same algorithm as Learning Normal Flow Directly From Event Neighborhoods, but with…