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Found 17 papers, 12 papers with code
Reinforcement Learning with Elastic Time Steps
Given the discrete nature of RL algorithms, they are oblivious to the effects of the choice of control rate: finding the correct control rate can be difficult and mistakes often result in excessive use of computing resources or even lack of convergence.
Deployable Reinforcement Learning with Variable Control Rate
Unfortunately, the system should be controlled at the highest, worst-case frequency to ensure stability, which can demand significant computational and energy resources and hinder the deployability of the controller on onboard hardware.
Dynamic Open Vocabulary Enhanced Safe-landing with Intelligence (DOVESEI)
This work targets what we consider to be the foundational step for urban airborne robots, a safe landing.
Real-Time Simultaneous Localization and Mapping with LiDAR intensity
To avoid this problem, we extract feature points from the LiDAR-generated point cloud that match features identified in LiDAR intensity images.
Swarm-SLAM : Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems
Collaborative Simultaneous Localization And Mapping (C-SLAM) is a vital component for successful multi-robot operations in environments without an external positioning system, such as indoors, underground or underwater.
Copiloting Autonomous Multi-Robot Missions: A Game-inspired Supervisory Control Interface
Real-world deployment of new technology and capabilities can be daunting.
Self-Supervised Domain Calibration and Uncertainty Estimation for Place Recognition
We show that our approach can improve the performance of a state-of-the-art technique on a target environment dissimilar from its training set and that we can obtain uncertainty estimates.
Simultaneous Localization and Mapping
Visual Place Recognition
The Portiloop: a deep learning-based open science tool for closed-loop brain stimulation
Closed-loop brain stimulation refers to capturing neurophysiological measures such as electroencephalography (EEG), quickly identifying neural events of interest, and producing auditory, magnetic or electrical stimulation so as to interact with brain processes precisely.
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARPA Subterranean Challenge.
Multi-robot energy autonomy with wind and constrained resources
One aspect of the ever-growing need for long term autonomy of multi-robot systems, is ensuring energy sufficiency.
Robotics Systems and Control Systems and Control
Reinforcement Learning with Random Delays
Action and observation delays commonly occur in many Reinforcement Learning applications, such as remote control scenarios.
DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams
This paper introduces DOOR-SLAM, a fully distributed SLAM system with an outlier rejection mechanism that can work with less conservative parameters.
Robotics
Decentralized Connectivity Control in Quadcopters: a Field Study of Communication Performance
Redundancy and parallelism make decentralized multi-robot systems appealing solutions for the exploration of extreme environments.
Robotics Multiagent Systems C.2.4; C.4; I.2.9
An Adversarial Approach to Private Flocking in Mobile Robot Teams
We present a method that generates private flocking controllers that hide the identity of the leader robot.
Modeling Perceptual Aliasing in SLAM via Discrete-Continuous Graphical Models
Perceptual aliasing is one of the main causes of failure for Simultaneous Localization and Mapping (SLAM) systems operating in the wild.
Robotics 65K05, 62F10, 68T40, 68W40, 68W25, I.2.9; G.1.6
Decentralized Connectivity-Preserving Deployment of Large-Scale Robot Swarms
We present a decentralized and scalable approach for deployment of a robot swarm.
Robotics Multiagent Systems
ROS and Buzz: consensus-based behaviors for heterogeneous teams
This paper address the challenges encountered by developers when deploying a distributed decision-making behavior on heterogeneous robotic systems.
Robotics
