Papers
1–3 of 3Research Paper·Jan 16, 2026
RobuMTL: Enhancing Multi-Task Learning Robustness Against Weather Conditions
Robust Multi-Task Learning (MTL) is crucial for autonomous systems operating in real-world environments, where adverse weather conditions can severely degrade model performance and reliability. In thi...
8.0 viability
Research Paper·Mar 4, 2026
VANGUARD: Vehicle-Anchored Ground Sample Distance Estimation for UAVs in GPS-Denied Environments
Autonomous aerial robots operating in GPS-denied or communication-degraded environments frequently lose access to camera metadata and telemetry, leaving onboard perception systems unable to recover th...
7.0 viability
Research Paper·Mar 4, 2026
Right in Time: Reactive Reasoning in Regulated Traffic Spaces
Exact inference in probabilistic First-Order Logic offers a promising yet computationally costly approach for regulating the behavior of autonomous agents in shared traffic spaces. While prior methods...
5.0 viability