Ransalu Senanayake

Engineering · Physical Sciences

17h-index2.7kcitations95works0.42yr avg
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Research Topics

Autonomous Vehicle Technology and Safety(18), Gaussian Processes and Bayesian Inference(12), Reinforcement Learning in Robotics(10), Anomaly Detection Techniques and Applications(10), Target Tracking and Data Fusion in Sensor Networks(9)

Publications94 total

Humanoid Factors: Design Principles for AI Humanoids in Human Worlds
arXiv (Cornell University)·2026Open Access
Humanoid Factors: Design Principles for AI Humanoids in Human Worlds
arXiv (Cornell University)·2026Open Access
BaTCAVe: Trustworthy Explanations for Robot Behaviors
2025
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Cambridge University Press eBooks·2025· 1 cited
PAC Bench: Do Foundation Models Understand Prerequisites for Executing Manipulation Policies?
arXiv (Cornell University)·2025Open Access
Viewpoint-Agnostic Manipulation Policies with Strategic Vantage Selection
arXiv (Cornell University)·2025Open Access
Multiple Distribution Shift - Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation
Proceedings of the AAAI Symposium Series·2025Open Access
Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments
arXiv (Cornell University)·2025Open Access
VLC Fusion: Vision-Language Conditioned Sensor Fusion for Robust Object Detection
arXiv (Cornell University)·2025Open Access
Multiple Distribution Shift -- Aerial (MDS-A): A Dataset for Test-Time Error Detection and Model Adaptation
arXiv (Cornell University)·2025Open Access
MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds
arXiv (Cornell University)·2024Open Access
From Mystery to Mastery: Failure Diagnosis for Improving Manipulation Policies
arXiv (Cornell University)·2024Open Access
ExpressivityBench: Can LLMs Communicate Implicitly?
arXiv (Cornell University)·2024Open Access
LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
arXiv (Cornell University)·2024Open Access
BaTCAVe: Trustworthy Explanations for Robot Behaviors
arXiv (Cornell University)·2024Open Access
Explainable Concept Generation through Vision-Language Preference Learning for Understanding Neural Networks' Internal Representations
arXiv (Cornell University)·2024Open Access
Towards Adapting Reinforcement Learning Agents to New Tasks: Insights from Q-Values
arXiv (Cornell University)·2024· 1 citedOpen Access
Failures Are Fated, But Can Be Faded: Characterizing and Mitigating Unwanted Behaviors in Large-Scale Vision and Language Models
arXiv (Cornell University)·2024Open Access
Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather
arXiv (Cornell University)·2024Open Access
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Fábio Ramos(16), Mykel J. Kochenderfer(13), Ravindra S. Goonetilleke(5), Raunak Bhattacharyya(4), David Scheinker(4), David M. Maahs(4), Priya Prahalad(4), Masha Itkina(4), Simon O’Callaghan(3), Lionel Ott(3), Dessi P. Zaharieva(3), Emily B. Fox(3), Carlos Guestrin(3), Johannes O. Ferstad(3), Liam A. Kruse(3), Anthony Tompkins(3), Blake Wulfe(2), Alex Kuefler(2), Weiming Zhi(2), Glenn Loving(2)