219 citations · 298 across the 7 of their papers we have counts for
7 papers
MPPI-based Informative Trajectory Planning for Search and Capture of Drifting Targets with ASVs
Sanjeev Ramkumar Sudha, Marija Popović, Erlend M. Coates
Autonomous surface vehicles offer an efficient solution for environmental cleanup as well as search and rescue operations in open waters. Targets in these settings drift continuous…
"Why This Avoidance Maneuver?" Contrastive Explanations in Human-Supervised Maritime Autonomous Navigation
Joel Jose, Andreas Madsen, Andreas Brandsæter +2
Automated maritime collision avoidance will rely on human supervision for the foreseeable future. This necessitates transparency into how the system perceives a scenario and plans…
Efficient Online Learning and Adaptive Planning for Robotic Information Gathering Based on Streaming Data
Sanjeev Ramkumar Sudha, Joel Jose, Erlend M. Coates
Robotic information gathering (RIG) techniques refer to methods where mobile robots are used to acquire data about the physical environment with a suite of sensors. Informative pla…
An Informative Planning Framework for Target Tracking and Active Mapping in Dynamic Environments with ASVs
Sanjeev Ramkumar Sudha, Marija Popović, Erlend M. Coates
Mobile robot platforms are increasingly being used to automate information gathering tasks such as environmental monitoring. Efficient target tracking in dynamic environments is cr…
A spherical amplitude-phase formulation for 3-D adaptive line-of-sight (ALOS) guidance with USGES stability guarantees
Erlend M. Coates, Thor I. Fossen
A recently proposed 3-D adaptive line-of-sight (ALOS) path-following algorithm addressed coupled motion dynamics of marine craft, aircraft and uncrewed vehicles under environmental…
Data-Efficient Deep Reinforcement Learning for Attitude Control of Fixed-Wing UAVs: Field Experiments
Eivind Bøhn, Erlend M. Coates, Dirk Reinhardt +1
Attitude control of fixed-wing unmanned aerial vehicles (UAVs) is a difficult control problem in part due to uncertain nonlinear dynamics, actuator constraints, and coupled longitu…
Deep Reinforcement Learning Attitude Control of Fixed-Wing UAVs Using Proximal Policy Optimization
Eivind Bøhn, Erlend M. Coates, Signe Moe +1
Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the co…