https://simulately.wiki/docs/

TASK Description

Developing and testing simulation environments for various robotic platforms, including legged robots, drones, and wheeled robots. The simulations aim to create realistic and scalable environments for testing and improving locomotion algorithms, control systems, and overall robotic performance.

Challenges

• Realistic Modeling
• Computational Efficiency
• Real-time Interaction
• Scalability

Legged Robots Simulation

Description:

Simulating legged robots involves replicating the dynamics of walking, running, and navigating complex terrains. The goal is to test different gaits, balance strategies, and terrain adaptability in a controlled environment before deploying in the real world.

Challenges:

• Dynamic Modeling:
  • Physics accuracy: Ensuring the simulation accurately reflects the physical properties and dynamics of legged locomotion.
  • Collision handling: Realistically simulating collisions and interactions with the environment.
• Gait and Balance:
  • Real-time adjustments: Simulating the robot’s ability to adjust its gait and balance dynamically in response to changing terrains.
  • Energy consumption: Accurately modeling energy usage for different gaits and movements.

Implementation questions:

• How do you ensure the simulation accurately reflects real-world physics?
• What techniques can be used to optimize the computational efficiency of the simulation?

Drones Simulation

Description:

Drone simulations provide an environment to test flight dynamics, control algorithms, and navigation strategies. The simulation must accurately replicate three-dimensional movement, wind disturbances, and obstacle interactions.