9 citations · 12 across the 8 of their papers we have counts for
15 papers
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
Uncertainty has long been a critical area of study in robotics, particularly when robots are equipped with analytical models. As we move towards the widespread use of deep neural n…
Graphical Games for UAV Swarm Control Under Time-Varying Communication Networks
Malintha Fernando, Ransalu Senanayake, Ariful Azad +1
We propose a unified framework for coordinating Unmanned Aerial Vehicle (UAV) swarms operating under time-varying communication networks. Our framework builds on the concept of gra…
How Do We Fail? Stress Testing Perception in Autonomous Vehicles
Harrison Delecki, Masha Itkina, Bernard Lange +2
Autonomous vehicles (AVs) rely on environment perception and behavior prediction to reason about agents in their surroundings. These perception systems must be robust to adverse we…
FIG-OP: Exploring Large-Scale Unknown Environments on a Fixed Time Budget
Oriana Peltzer, Amanda Bouman, Sung-Kyun Kim +8
We present a method for autonomous exploration of large-scale unknown environments under mission time constraints. We start by proposing the Frontloaded Information Gain Orienteeri…
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models
Phil Chen, Masha Itkina, Ransalu Senanayake +1
Many applications of generative models rely on the marginalization of their high-dimensional output probability distributions. Normalization functions that yield sparse probability…
A Hybrid Rule-Based and Data-Driven Approach to Driver Modeling through Particle Filtering
Raunak Bhattacharyya, Soyeon Jung, Liam Kruse +2
Autonomous vehicles need to model the behavior of surrounding human driven vehicles to be safe and efficient traffic participants. Existing approaches to modeling human driving beh…