Robotics Day 2017 - ARL - Kostas Alexis: The Autonomous Robots Lab @autonomousrobotslab

Uploaded April 2017 | Updated September 2026, 3 weeks ago

Overview of the Autonomous Robots Lab
Kostas Alexis

Talk at the main event of the Robotics Day organized by the Autonomous Robots Lab at March 31 2017.

ARL website: autonomousrobotslab.com

Robotics Day 2017 - ARL - Kostas Alexis: The Autonomous Robots Lab

Autonomous subterranean exploration with the RMF aerial robot inside the Hagerbach underground mine

Robotics Day 2017 - ARL - Tyler Sorey - GPU Programming for Robots

Visual Saliency-aware Receding Horizon Autonomous Exploration: Spotlight Video

UC3D-IPP Power Transformer MockUp Inspection

Autonomous 3D and Radiation Mapping in Tunnel Environments using Aerial Robots

Radar-Inertial ICP-based Pose Graph SLAM

$Resource-aware Online Parameter Adaptation for Computationally-constrained Visual-Inertial Odometry In this work, a computational resources-aware parameter adaptation method for visual-inertial navigation systems is proposed with the goal of enabling the improved deployment of such algorithms on computationally constrained systems. Such a capacity can prove critical when employed on ultra-lightweight systems or alongside mission critical computationally expensive processes. To achieve this objective, the algorithm proposes selected changes in the vision front-end and optimization back-end of visual-inertial odometry algorithms, both prior to execution and in real time based on an online profiling of available resources. The method also utilizes information from the motion dynamics experienced by the system to manipulate parameters online. The general policy is demonstrated on three established algorithms, namely S-MSCKF, VINS-Mono and OKVIS and has been verified experimentally on the EuRoC dataset. The proposed approach achieved comparable performance at a fraction of the original computational cost.$

Autonomous Exploration inside Building Corridors

A Multi-Modal Mapping Unit for Autonomous Robotic Exploration in Visually-degraded Environments

Model Predictive Attitude Control of a Jumping-and-Flying Quadruped for Planetary Exploration

Exploration and Mapping in Visually-degraded Environments using Aerial Robots - Preliminary Results

Kostas Alexis |

Robotics Day 2017 - ARL - Kostas Alexis: The Autonomous Robots Lab