3 papers
cs.RO2026
Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
Carl Qi, Xiaojie Wang, Silong Yong +6
Reasoning about failures is crucial for building reliable and trustworthy robotic systems. Prior approaches either treat failure reasoning as a closed-set classification problem or…
cs.CV2025
HyMAD: A Hybrid Multi-Activity Detection Approach for Border Surveillance and Monitoring
Sriram Srinivasan, Srinivasan Aruchamy, Siva Ram Krisha Vadali
Seismic sensing has emerged as a promising solution for border surveillance and monitoring; the seismic sensors that are often buried underground are small and cannot be noticed ea…
cs.CV2025
RePose-NeRF: Robust Radiance Fields for Mesh Reconstruction under Noisy Camera Poses
Sriram Srinivasan, Gautam Ramachandra
Accurate 3D reconstruction from multi-view images is essential for downstream robotic tasks such as navigation, manipulation, and environment understanding. However, obtaining prec…