-
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.
-
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.
-
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.
-
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.
-
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.
