most citedIntelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

GaitVista: Reliability-Aware AI Measurement toward Accessible Longitudinal Gait Assessment

Nethmi Jayasinghe, Mihir Parashar, Amit Ranjan Trivedi

Tracking recovery of walking function requires detecting meaningful gait change across rehabilitation sessions, yet objective 3D measurement remains confined to specialized motion-…

cs.RO2026

When Robots Sleep: Offline Skill Consolidation for Shared-Policy Robot Learning

Nethmi Jayasinghe, Diana Gontero, Amit Ranjan Trivedi

Robots that learn over long deployments must add new skills without losing the shared policy structure that makes earlier skills reusable. We study sequential robot skill learning,…

cs.RO2026

Stability-Aligned Residual Adaptation for Rapid Recovery from Dynamics Shifts

Nethmi Jayasinghe, Diana Gontero, Francesco Migliarba +4

Robotic systems deployed beyond controlled environments encounter abrupt and unobserved dynamics shifts that induce substantial transient performance loss, even when the nominal cl…

cs.LG2026

Cerebellar-Inspired Residual Control for Fault Recovery: From Inference-Time Adaptation to Structural Consolidation

Nethmi Jayasinghe, Diana Gontero, Spencer T. Brown +3

Robotic policies deployed in real-world environments often encounter post-training faults, where retraining, exploration, or system identification are impractical. We introduce an…

cs.RO2025★ 1 cited

Intelligent Sensing-to-Action for Robust Autonomy at the Edge: Opportunities and Challenges

Amit Ranjan Trivedi, Sina Tayebati, Hemant Kumawat +9

Autonomous edge computing in robotics, smart cities, and autonomous vehicles relies on the seamless integration of sensing, processing, and actuation for real-time decision-making…