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Jun 23, 2025
#8 - Harish Ravichandar: Structured Robot Learning
Harish is actively exploring alternatives to the mainstream scaling approach in AI. The conversation his philosophy of using classical methods as scaffolding for modern robot learning. He covers his breakthrough work with Koopman operators for rapid skill learning.
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Jun 1, 2025
#7 - Zsolt Kira: Continual Learning, Multimodality & Achieving AGI
Zsolt elaborates on memory systems, continual learning, and the importance of human-robot interaction. Robots need to learn from ambiguous requests and adapt to new environments while maintaining personalization. He also explores the potential for collective intelligence among robots.
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May 14, 2025
#6 - Manisha Natarajan: Trust & Dependence in Robotics
Manisha explores the complexities of trust in human-robot collaboration, from measuring and calibrating trust to the ethical challenges of robotic control. She discusses communication strategies, adapting robots to individual users, and the impact of stress in high-stakes scenarios.
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Mar 23, 2025
#5 - Jeremy Collins: Causality, Consciousness, Video Learning
Jeremy discusses the importance of data augmentation techniques like RoCoDA, video learning with AMPLIFY, and the challenges of generalization in robotics. He emphasizes the significance of causality, the long tail problem in robotic tasks, and the future of robotics in real-world applications.
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Feb 22, 2025
#4 - Batuhan Altundas: Human-Robot Teaming
Batuhan's research focuses on developing intelligent scheduling systems that enable robots and humans to work together more effectively. He is the creator of HybridNet, a deep learning framework that helps robots understand and adapt to human learning patterns and performance variability in collaborative settings.
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Feb 15, 2025
#3 - Maithili Patel: Proactive Robot Assistance
Maithili's research addresses the longitudinal proactive assistance problem - understanding user routines and preferences, anticipating assistive opportunities over an extended period of time. In this conversation, she addresses the importance of user-friendly interactions, proactivity, and personalization in robotic systems.
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Dec 24, 2024
#2 - Rishabh Goel: Batteryless UAVs
Rishabh’s work focuses on batteryless technologies and embedded systems. His team recently built batteryless UAVs that flap like birds. He’s one of the key minds behind Protean, a platform that enables batteryless sensors to perform machine learning tasks amidst unpredictable energy conditions.
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Dec 21, 2024
#1 - Sandilya Sai Garimella: Multi-Robot Networks
Sandilya's work focuses on multi-robot networks and contact perception using graph neural networks. His research aims to improve how robots coordinate and understand their environment, potentially leading to more versatile and capable robotic systems.
