Customizable perturbation synthesis for robust slam benchmarking

X Xu, T Zhang, S Wang, X Li, Y Chen, Y Li… - arXiv preprint arXiv …, 2024 - arxiv.org
Robustness is a crucial factor for the successful deployment of robots in unstructured
environments, particularly in the domain of Simultaneous Localization and Mapping (SLAM) …

Resilient Legged Local Navigation: Learning to Traverse with Compromised Perception End-to-End

J Jin, C Zhang, J Frey, N Rudin, M Mattamala… - arXiv preprint arXiv …, 2023 - arxiv.org
Autonomous robots must navigate reliably in unknown environments even under
compromised exteroceptive perception, or perception failures. Such failures often occur …

Resilient legged local navigation: Learning to traverse with compromised perception end-to-end

C Zhang, J Jin, J Frey, N Rudin… - … on Robotics and …, 2024 - research-collection.ethz.ch
Autonomous robots must navigate reliably in un known environments even under
compromised exteroceptive perception, or perception failures. Such failures often occur …

Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models

Y Yang, Q Zhang, K Ikemura, N Batool… - arXiv preprint arXiv …, 2024 - arxiv.org
Addressing hard cases in autonomous driving, such as anomalous road users, extreme
weather conditions, and complex traffic interactions, presents significant challenges. To …

A General Calibrated Regret Metric for Detecting and Mitigating Human-Robot Interaction Failures

K Nakamura, R Tian, A Bajcsy - arXiv preprint arXiv:2403.04745, 2024 - arxiv.org
Robot decision-making increasingly relies on expressive data-driven human prediction
models when operating around people. While these models are known to suffer from …

Additive manufacturing systems integration

J Heilala, S Parchegani, H Piili - IOP Conference Series …, 2023 - iopscience.iop.org
This research explores real-time database systems' evolution, focusing on unique features
and the addressed challenges. It examines the role of multi-material additive manufacturing …