Modular robot used as a beach cleaner

Roza, Felippe Schmoeller; Silva, Vinicius Ghizoni da; Pereira, Patrick; Bertol, Douglas Wildgrube

doi:10.4067/s0718-33052016000400009

Cited by 4 publications

(1 citation statement)

References 8 publications

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“…The application of autonomous robotics in beach cleaning represents a developing area of research, still in its early stages but showing significant potential for advancement [10,11]. Traditional beach-cleaning robots, which are predominantly large-scale [12], often require human supervision and/or control, limiting their autonomy and operational efficiency [13][14][15].…”

Section: State Of Artmentioning

confidence: 99%

RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents

Quiroga,

Hermosilla,

Varas

et al. 2024

Applied Sciences

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This paper explores the application of Deep Reinforcement Learning (DRL) and Sim2Real strategies to enhance the autonomy of beach-cleaning robots. Experiments demonstrate that DRL agents, initially refined in simulations, effectively transfer their navigation skills to real-world scenarios, achieving precise and efficient operation in complex natural environments. This method provides a scalable and effective solution for beach conservation, establishing a significant precedent for the use of autonomous robots in environmental management. The key advancements include the ability of robots to adhere to predefined routes and dynamically avoid obstacles. Additionally, a newly developed platform validates the Sim2Real strategy, proving its capability to bridge the gap between simulated training and practical application, thus offering a robust methodology for addressing real-life environmental challenges.

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Section: State Of Artmentioning

confidence: 99%

RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents

Quiroga,

Hermosilla,

Varas

et al. 2024

Applied Sciences

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A Cost-Effective Autonomous Beach Cleaning Rover Using Deep Learning

Girish,

Harikrishnan,

Nair

et al. 2024

Lecture Notes in Networks and Systems

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An Intelligent Hierarchical Cyber-Physical System for Beach Waste Management: The BIOBLU Case Study

Cicceri,

Guastella,

Sutera

et al. 2023

IEEE Access

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Nestled at the confluence of nature grandeur and human civilization, beaches command an influential presence that resonates throughout the environment, society, and culture. However, climate change and pollution overhang the beach health and need to be properly dealt with. Proactive measures involve education, responsible waste management, sustainable infrastructure, and environmental regulations, while reactive ones focus on immediate response and cleanup efforts. Nevertheless, continuous monitoring and cleaning are challenging due to various factors such as beach characteristics, hidden waste, weather conditions and, consequently, high costs. To overcome such challenges, this paper proposes an autonomous system for beach cleaning adopting an Intelligent Hierarchical Cyber-Physical System (IHCPS) approach and Information and Communication Technologies. The proposed beach waste management (BeWastMan) solution integrates an Unmanned Aerial Vehicle for the beach aerial surveillance and monitoring, a ground station for data processing, and an Unmanned Ground Vehicle to collect and sort waste autonomously. The research findings contribute to the development of innovative and fully automated approaches in beach waste management, and demonstrate the feasibility and effectiveness of the BeWastMan IHCPS by a real case study, developed in the frame of the BIOBLU project.

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Modular robot used as a beach cleaner

Cited by 4 publications

References 8 publications

RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents

RL-Based Sim2Real Enhancements for Autonomous Beach-Cleaning Agents

A Cost-Effective Autonomous Beach Cleaning Rover Using Deep Learning

An Intelligent Hierarchical Cyber-Physical System for Beach Waste Management: The BIOBLU Case Study

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