Robot cooperative perception and response is useful in real scenarios, especially in search and rescue scenarios.
Rocopar is developed on Ubuntu 20.04
and ROS Noetic
, which is inspired by the following projects:
https://github.com/HauserDong/hybrid_control_match/tree/master
-
Stage one(now): In ros_stage, leverage a single robot to explore the whole map autonomously, and recognize the target near itself:
Deadline: May 22
- Explore the unknown workspace via frontier_exploration
- Explore the unknown workspace via rrt_exploration
- Recognize target boxes and publish to the screen.
- Extend to multi-robot scenarios.
-
Stage two: In ros_stage, leverage multiple robots to explore the whole map autonomously, and react to the triggered tasks:
Deadline: July 30
-
Stage three: In gazebo, leverage a fleet of robots to explore the whole map, while recognizing all targets;
Deadline: Aug 10
-
Stage four: In gazebo, explore and response to the triggered tasks.
Deadline: Sept 10
- Cooperative perception using multi-sensor data fusion
- Reactive planning algorithms for dynamic environments
- Task allocation and coordination among multiple robots
- Integration with ROS for ease of use and extensibility
- ROS Noetic
- Python 3.8+
- Install dependencies: