Present and future of slam in extreme environments: The darpa subt challenge
This article surveys recent progress and discusses future opportunities for simultaneous
localization and map** (SLAM) in extreme underground environments. SLAM in …
localization and map** (SLAM) in extreme underground environments. SLAM in …
Multi-agent deep reinforcement learning for multi-robot applications: A survey
J Orr, A Dutta - Sensors, 2023 - mdpi.com
Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …
example fields in which these successes have taken place include mathematics, games …
Smart-llm: Smart multi-agent robot task planning using large language models
In this work, we introduce SMART-LLM, an innovative framework designed for embodied
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …
multi-robot task planning. SMART-LLM: Smart Multi-Agent Robot Task Planning using Large …
A survey of maritime unmanned search system: Theory, applications and future directions
The rising frequency of ocean activities, such as ocean transportation and marine resources
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …
development, inevitably leads to a higher incidence of sudden accidents at sea. Maritime …
LAMP 2.0: A robust multi-robot SLAM system for operation in challenging large-scale underground environments
Search and rescue with a team of heterogeneous mobile robots in unknown and large-scale
underground environments requires high-precision localization and map**. This crucial …
underground environments requires high-precision localization and map**. This crucial …
[PDF][PDF] Cerberus: Autonomous legged and aerial robotic exploration in the tunnel and urban circuits of the darpa subterranean challenge
Autonomous exploration of subterranean environments constitutes a major frontier for
robotic systems as underground settings present key challenges that can render robot …
robotic systems as underground settings present key challenges that can render robot …
Multi-robot coordination analysis, taxonomy, challenges and future scope
Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …
because of their efficiency and applicability in different types of real-life applications. This …
An autonomous drone for search and rescue in forests using airborne optical sectioning
Autonomous drones will play an essential role in human-machine teaming in future search
and rescue (SAR) missions. We present a prototype that finds people fully autonomously in …
and rescue (SAR) missions. We present a prototype that finds people fully autonomously in …
Multiple vehicle cooperation and collision avoidance in automated vehicles: Survey and an AI-enabled conceptual framework
Prospective customers are becoming more concerned about safety and comfort as the
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
automobile industry swings toward automated vehicles (AVs). A comprehensive evaluation …
Present and future of slam in extreme underground environments
This paper reports on the state of the art in underground SLAM by discussing different SLAM
strategies and results across six teams that participated in the three-year-long SubT …
strategies and results across six teams that participated in the three-year-long SubT …