Swarm Robotics

Enrolment No.: 2101

Presented By: Shreyas Prakash Shrikhande

Guided By: Prof. Kshirsagar

Swarm Robotics: The Power of Collective Intelligence

Conlusion and Q&A

Challenges

Applications

Working of Swarm Robotics

Ant Colony Optimization

Introduction

index

Introduction

01

Swarm robotics is when many small robots team up, like animals in nature, to solve tasks together efficiently.

What is Swarm Robotics?

What is a Swarm?

In nature, a "swarm" is a large group of animals or insects that work together as a team. They collaborate to achieve common goals, this natural behavior inspires swarm robotics, where many robots work together like a swarm to solve tasks efficiently.

introduction

02

Ant colony optimization

+ Flowchart

• Nature-Inspired Algorithm: ACO is inspired by how real ants find the shortest path to food using pheromone trails.
• Pathfinding: Robots follow these trails to find the most efficient routes through complex environments.
• Cooperative Behavior: ACO encourages robots to work together based on shared pheromone information.
• Adaptability: ACO allows robots to adapt to changing conditions and optimize their actions collectively.

Ants Forge Optimal Paths

What is Any Colony Optimization?

Nature-Inspired Optimization

Ant Colony optimization

Working of Swarm robotics

03

Working of swarm robotics

Applications

04

• Surgery Assistance: Swarm robots assist surgeons in delicate procedures, enhancing precision and reducing invasiveness.
• Drug Delivery: Tiny robotic swarms deliver drugs precisely to targeted areas in the body, improving treatment effectiveness.
• Nanomedicine: Microscopic swarms navigate the body, diagnosing and treating diseases at the cellular level.
• Disease Detection: Highly sensitive sensors in swarms detect diseases early, aiding in timely interventions.
• Infection Control: Swarms disinfect and sterilize healthcare facilities, reducing the risk of hospital-acquired infections.

Revolutionizing Healthcare: Swarm Robotics in Medicine

Healthcare

• Surveillance: Swarm robots conduct covert surveillance and reconnaissance missions, gathering critical intelligence.
• Tactical Coordination: They collaboratively execute complex tactical maneuvers, enhancing combat efficiency.
• Search and Rescue: Swarms locate and assist in rescuing soldiers and civilians in challenging environments.
• Logistics Support: Robots transport supplies and equipment efficiently in combat zones.
• Unmanned Aerial Swarms: Drone swarms provide aerial superiority and data gathering.

Swarming for Defense: Robotics in Military Operations

Military

Challenges

05

Overcoming Challenges

• Scalability Challenge: Large swarms pose communication and coordination complexities.
• Security: Vital for defense and healthcare applications, ensuring secure communication and protection against hacking.
• Ethical Issues: Arise when swarms impact privacy or safety in various contexts.
• Limited Autonomy: Often require centralized control, restricting autonomy in some applications.

CHallenges

Conclusion and Q&a

06

Collective Intelligence

Transformative Efficency

Endless Potential

Innovative Imapct

Conclusions

Harnessing the collective power of robots, swarm robotics propels us into a new era of innovation.

Embrace swarm robotics for smarter, safer, and more efficient solutions in diverse applications.

Explore swarm robotics "where nature meets technology" to unlock limitless possibilities for our future.

Swarm robotics reshapes industries, demonstrating the power of collaboration and intelligent systems.

questions?

"Your questions are the key to deeper understanding. I welcome your inquiries and insights. Let's discuss!"

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~Shreyas Shrikhande

"Your attentive ears have illuminated this room. Grateful for your presence and curiosity. Thank you, all!"

THANK YOU.

Algorithm:

1. Initialize:

• Create a swarm of robots.
• Define the goal of the swarm.

2. Sense:

• Each robot senses its environment and its position relative to the other robots.

3. Communicate:

• The robots communicate with each other to share information about their environment and their positions.

4. Decide:

• Each robot decides on a course of action based on the information it has gathered.

5. Act:

• Each robot takes the action that it has decided on.

6. Repeat steps 2-5 until the goal of the swarm is achieved.

Flowchart:

• Adaptive Comms: Robots adjust communication as needed based on the environment and tasks.

• Local Communication: Robots use short-range wireless tech (e.g., Wi-Fi, Bluetooth) to talk to nearby robots.
• Direct Messaging: Robots chat directly with neighbors, sharing info about state, position, and tasks.
• Info Sharing: Robots share data on task progress, environment, and obstacles to make decisions.
• Pheromone Signals: Some use pheromone-like signals on paths, guiding other robots to explore.

Communication Protocols: