Hello,i am looking for guys to simulate me an swarm things in ardupilot. About (~15 drones would be there ) . The simulation needs to show drones flying uniformly above the runway with collision avoidance.
I am looking to build an IoT device for my marine shrimp farming system in Malaysia. I would need it to be equipped with: - Dissolve Oxygen probe, Optical, calibrated to Temperature and Salinity - pH probe - Temperature probe - Salinity probe - Able to send data from shrimp pond to central office or mobile device/app, thru LoRa, WiFi, or any as long as it ensures we get live updates on our finger tips. Ponds can be far (up to 10km) from internet router. - Store data, database able to be extracted into excel or other forms - Best if you can work with us to build an app/web-app that can help with data visualisation * The probes has to be accurate, highly reliable and robust, to withstand outdoors and high salinity environments. We can source for those together. If your interest, do reach...
If you have experience in designing the incoming conveyor belts for Reverse Vending Machines, I'd like to discuss a new design that we are starting. Outline spec: - Must accept items with diameters ranging from 50mm to 120mm - Looking for a solution to the actuation problems only. - All external control (start/stop and forward/reverse) will be done by my team.
We have a 5-axis manipulator, we need a full ROS package for it.
We're obtained a quote for a universal cobot directly from the manufacturer. The project is a basic pick and place application that would use a Pneumatic tool to place a cardboard tray on a flat plate, then pick up a 12 little jello cups that have been previously lined up on another plate, ,place them on the cardboard tray, then push the tray onto a belt conveyor. Although we áre told the New cobots áre very easy to programa, we prefer an engineer with previous programming experience to set up the robot and do basic training for our personnel. We are located in the Chicago area. The weight of the 12 jellos is approx. 2.5 lbs.
Navigate Mobile Car in Simulation 1. Project Objective • Get familiar with mobile robot simulation • Understand intelligent robot programming • Apply inverse kinematics and navigation algorithms in simulated environments 2. Project Steps 1. Install pybullet with Anaconda (recommended) ◦ Install Anaconda: ◦ Install Pybullet: 2. (If you have done the first step, please ignore) Install python3 (optional) Setup the python3 environment on your system. ◦ Windows 10: ▪ ◦ Mac: ▪ ◦ Ubuntu 16.04: ▪ and-set-up-a-local-programming-environment-on-ubuntu-16-04 3. (If you have done the first step, please ignore) Setup Pybullet Environment: ◦ Run following commands in the terminal: ▪ pip3 install pybullet --upgrade --user ▪ python3 -m pybullet_envs.examples.enjoy_TF_AntBulletEnv_v0...