Networked Robotics projects examples using ns3

Networked Robotics projects examples using ns3 on various domains in which we worked are listed below, read them. Our researchers work efficiently for your project if you want to get good guidance then reach out for us, we will provide you best thesis ideas and topics. Networked Robotics is used in the various fields such as manufacturing, IIoT and so on. Here are some examples of networked robotics projects using ns3 simulation.

1. Collaborative Robotics in Manufacturing:

• Objective: Analyze the performance of communication protocols for collaborative robots (cobots) in a manufacturing environment.
• Description:
  • Simulation Setup: Simulate a network of collaborative robots performing tasks and communicating with each other and a central controller.
  • Protocols: Develop protocols like MQTT, ROS (Robot Operating System) communication, and real-time Ethernet.
  • Metrics: Evaluate latency, throughput, synchronization accuracy, and task completion time.
  • Tools: Utilize ns3’s IoT modules and custom robot communication protocols.

1. Wireless Control of Unmanned Aerial Vehicles (UAVs):

• Objective: Analyze the communication performance to control multiple UAVs in a coordinated manner.
• Description:
  • Simulation Setup: In this we create a network of UAVs communicating with a ground control station.
  • Protocols: Develop communication protocols like LTE, 5G NR, and Wi-Fi for UAV control.
  • Metrics: Analyze control signal latency, packet delivery ratio, and coordination efficiency.
  • Tools: Use ns3’s UAV and mobility modules.

1. Robotic Swarm Communication:

• Objective: Assess the communication requirements and performance of robotic swarms.
• Description:
  • Simulation Setup: Our experts will perform collective tasks by simulating a network of small robots (swarm) that communicate.
  • Protocols: Develop protocols like ZigBee, 6LoWPAN, and custom swarm communication algorithms.
  • Metrics: Evaluate network scalability, communication reliability, and task efficiency.
  • Tools: Utilize ns3’s WSN modules and swarm intelligence algorithms.

1. Remote Robot Teleoperation:

• Objective: Analyze the performance of communication networks for remote teleoperation of robots.
• Description:
  • Simulation Setup: Create a scenario where a robot is remotely controlled through a network.
  • Protocols: Develop protocols similar to WebRTC, TCP/IP, and UDP for real-time video and control signal transmission.
  • Metrics: Assess control latency, video quality, and teleoperation accuracy.
  • Tools: We will use ns3’s real-time communication and video streaming modules.

1. Mobile Robot Networks for Environmental Monitoring:

• Objective: Analyze the communication and coordination of mobile robots for environmental monitoring tasks.
• Description:
  • Simulation Setup: Simulate a network of mobile robots equipped with environmental sensors.
  • Protocols: Develop protocols similar to DTN (Delay-Tolerant Networking) and ad-hoc routing protocols (AODV, DSR).
  • Metrics: Evaluate data collection latency, network reliability, and area coverage.
  • Tools: Utilize ns3’s mobility models and sensor network modules.

1. Underwater Robot Communication:

• Objective: Test the communication performance of underwater robots utilizing acoustic modems.
• Description:
  • Simulation Setup: Create a network of underwater robots communicating utilizing acoustic signals.
  • Protocols: Develop underwater communication protocols similar to AQUANET and UW-ASN.
  • Metrics: Analyze communication range, data rate, and packet delivery ratio.
  • Tools: Use ns3’s underwater communication modules and custom acoustic models.

1. Multi-Robot Path Planning and Coordination:

• Objective: Analyze the network performance for path planning and coordination among multiple robots.
• Description:
  • Simulation Setup: Simulate a network of robots that need to coordinate their movements to accomplish a common goal.
  • Protocols: Develop path planning algorithms and coordination protocols similar to MAPF (Multi-Agent Path Finding).
  • Metrics: Evaluate coordination latency, path efficiency, and collision avoidance.
  • Tools: Utilize ns3’s mobility and coordination modules.

1. Industrial IoT for Robotic Automation:

• Objective: In industrial environments, analyze the performance of IIoT networks for robotic automation.
• Description:
  • Simulation Setup: Create a factory floor with robots and IoT devices communicating for automation tasks.
  • Protocols: Develop IIoT protocols similar to OPC UA, PROFINET, and real-time Ethernet.
  • Metrics: Analyze network reliability, latency, and task completion accuracy.
  • Tools: Use ns3’s IIoT and real-time communication modules.

1. Healthcare Robotics Communication:

• Objective: Test the communication requirements and performance of robots utilized in healthcare settings.
• Description:
  • Simulation Setup: Simulate a network of healthcare robots assisting with tasks like patient monitoring and medication delivery.
  • Protocols: Develop communication protocols similar to Wi-Fi, BLE, and ZigBee.
  • Metrics: Evaluate communication reliability, data latency, and system responsiveness.
  • Tools: We must utilize ns3’s healthcare IoT modules and real-time communication tools.

1. Robotic Sensor Networks for Disaster Response:

• Objective: Analyze the performance of robotic sensor networks deployed for disaster response scenarios.
• Description:
  • Simulation Setup: Navigate and collect data in disaster-affected areas by creating a network of robots equipped with sensors.
  • Protocols: Develop protocols for ad-hoc networking and sensor data aggregation.
  • Metrics: Evaluate network coverage, data accuracy, and communication reliability in dynamic environments.
  • Tools: Use ns3’s ad-hoc network and sensor modules.

We had a look on the networked robotics projects in ns3 by using simulating and implementing networked robotics. Also, we provide more ideas and simulation for your  Networked Robotics projects.