8 citations · 14 across the 6 of their papers we have counts for
6 papers
Navigation under uncertainty: Trajectory prediction and occlusion reasoning with switching dynamical systems
Ran Wei, Joseph Lee, Shohei Wakayama +10
Predicting future trajectories of nearby objects, especially under occlusion, is a crucial task in autonomous driving and safe robot navigation. Prior works typically neglect to ma…
Active Inference in Contextual Multi-Armed Bandits for Autonomous Robotic Exploration
Shohei Wakayama, Alberto Candela, Paul Hayne +1
Autonomous selection of optimal options for data collection from multiple alternatives is challenging in uncertain environments. When secondary information about options is accessi…
Online Pareto-Optimal Decision-Making for Complex Tasks using Active Inference
Peter Amorese, Shohei Wakayama, Nisar Ahmed +1
When a robot autonomously performs a complex task, it frequently must balance competing objectives while maintaining safety. This becomes more difficult in uncertain environments w…
Observation-Augmented Contextual Multi-Armed Bandits for Robotic Search and Exploration
Shohei Wakayama, Nisar Ahmed
We introduce a new variant of contextual multi-armed bandits (CMABs) called observation-augmented CMABs (OA-CMABs) wherein a robot uses extra outcome observations from an external…
Active Inference for Autonomous Decision-Making with Contextual Multi-Armed Bandits
Shohei Wakayama, Nisar Ahmed
In autonomous robotic decision-making under uncertainty, the tradeoff between exploitation and exploration of available options must be considered. If secondary information associa…
Probabilistic Semantic Data Association for Collaborative Human-Robot Sensing
Shohei Wakayama, Nisar Ahmed
Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, as we…