62 citations · 68 across the 7 of their papers we have counts for
8 papers
Adaptive Discretization using Voronoi Trees for Continuous-Action POMDPs
Marcus Hoerger, Hanna Kurniawati, Dirk Kroese +1
Solving Partially Observable Markov Decision Processes (POMDPs) with continuous actions is challenging, particularly for high-dimensional action spaces. To alleviate this difficult…
Trust and Safety
S. K. Devitt, R. Horne, Z. Assaad +15
Robotics in Australia have a long history of conforming with safety standards and risk managed practices. This chapter articulates the current state of trust and safety in robotics…
An NCAP-like Safety Indicator for Self-Driving Cars
Jimy Cai Huang, Hanna Kurniawati
This paper proposes a mechanism to assess the safety of autonomous cars. It assesses the car's safety in scenarios where the car must avoid collision with an adversary. Core to thi…
An On-Line POMDP Solver for Continuous Observation Spaces
Marcus Hoerger, Hanna Kurniawati
Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov Decision Process (POMD…
Non-Linearity Measure for POMDP-based Motion Planning
Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
Motion planning under uncertainty is essential for reliable robot operation. Despite substantial advances over the past decade, the problem remains difficult for systems with compl…
Multilevel Monte-Carlo for Solving POMDPs Online
Marcus Hoerger, Hanna Kurniawati, Alberto Elfes
Planning under partial obervability is essential for autonomous robots. A principled way to address such planning problems is the Partially Observable Markov Decision Process (POMD…