project09:2024Msc2JIP - Revision history

Henriette Bier: /* Contributors */

2024-11-26T13:03:38Z

Contributors

← Older revision		Revision as of 15:03, 26 November 2024
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	== '''Contributors''' ==		== '''Contributors''' ==

	Team Members: Deepanshu Kamlesh Punjabi (AE), Rienk Marsman (CESE), Mikolaj Helinski (AE), Yuran Wang (AM), and Yuanfu Pan (AE)		Team Members: Deepanshu Kamlesh Punjabi (AE), Rienk Marsman (CESE/ EWI), Mikolaj Helinski (AE), Yuran Wang (AM/ EWI), and Yuanfu Pan (AE)

	Tutors/ Coaches: Dr. Dipl.-Ing. Henriette Bier (BK) and Dr. ir. Chris Verhoeven (EWI)		Tutors/ Coaches: Dr. Dipl.-Ing. Henriette Bier (BK) and Dr. ir. Chris Verhoeven (EWI)

Henriette Bier: /* Simulation */

2024-11-18T10:30:54Z

Simulation

← Older revision		Revision as of 12:30, 18 November 2024
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	* World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.		* World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.
	~~<br>~~
	* Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.		* Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.
	~~<br>~~
	* Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.		* Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.
	~~<br>~~		[[File:World.jpg\|350px]]
	~~<br>~~
	[[File:World.jpg\|~~355px~~]]
	[[File:Block rover.jpg\|445px]]		[[File:Block rover.jpg\|445px]]
	~~<br>~~		* Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.
	~~<br>~~
	4. Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.
	~~<br>~~
	~~<br>~~
	[[File:Visual.jpg\|800px]]		[[File:Visual.jpg\|800px]]
	<br><br>		<br><br>

Henriette Bier: /* Simulation */

2024-11-18T10:28:11Z

Simulation

← Older revision		Revision as of 12:28, 18 November 2024
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	ROS2 acts as the communication framework within the simulation, enabling data exchange between the robots and allowing real-time updates on their positions, states, and tasks. This integration supports the swarm’s complex interactions, as each robot communicates its actions and receives input based on sensor feedback, enabling coordinated movement and block placement. Several key elements were successfully implemented in the simulation:		ROS2 acts as the communication framework within the simulation, enabling data exchange between the robots and allowing real-time updates on their positions, states, and tasks. This integration supports the swarm’s complex interactions, as each robot communicates its actions and receives input based on sensor feedback, enabling coordinated movement and block placement. Several key elements were successfully implemented in the simulation:

	1. World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.		* World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.
	<br>		<br>
	2. Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.		* Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.
	<br>		<br>
	3. Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.		* Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.
	<br>		<br>
	<br>		<br>

Henriette Bier: /* Contributors */

2024-11-18T10:25:50Z

Contributors

← Older revision		Revision as of 12:25, 18 November 2024
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	== '''Contributors''' ==		== '''Contributors''' ==

	Team Members:		Team Members: Deepanshu Kamlesh Punjabi (AE), Rienk Marsman (CESE), Mikolaj Helinski (AE), Yuran Wang (AM), and Yuanfu Pan (AE)

	~~Deepanshu Kamlesh Punjabi (AE), Rienk Marsman (CESE), Mikolaj Helinski (AE), Yuran Wang (AM), and Yuanfu Pan (AE)~~		Tutors/ Coaches: Dr. Dipl.-Ing. Henriette Bier (BK) and Dr. ir. Chris Verhoeven (EWI)

	Coaches:

	Dr. Dipl.-Ing. Henriette Bier (BK) and Dr. ir. Chris Verhoeven (EWI)

	== '''References''' ==		== '''References''' ==

Henriette Bier: /* Simulation */

2024-11-18T10:24:42Z

Simulation

← Older revision		Revision as of 12:24, 18 November 2024
Line 103:		Line 103:
	<br>		<br>
	3. Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.		3. Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.
			<br>
	<br>		<br>
	[[File:World.jpg\|355px]]		[[File:World.jpg\|355px]]
	[[File:Block rover.jpg\|445px]]		[[File:Block rover.jpg\|445px]]
			<br>
	<br>		<br>
	4. Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.		4. Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.
			<br>
	<br>		<br>
	[[File:Visual.jpg\|800px]]		[[File:Visual.jpg\|800px]]

Henriette Bier: /* Simulation */

2024-11-18T10:24:05Z

Simulation

← Older revision		Revision as of 12:24, 18 November 2024
Line 98:		Line 98:
	ROS2 acts as the communication framework within the simulation, enabling data exchange between the robots and allowing real-time updates on their positions, states, and tasks. This integration supports the swarm’s complex interactions, as each robot communicates its actions and receives input based on sensor feedback, enabling coordinated movement and block placement. Several key elements were successfully implemented in the simulation:		ROS2 acts as the communication framework within the simulation, enabling data exchange between the robots and allowing real-time updates on their positions, states, and tasks. This integration supports the swarm’s complex interactions, as each robot communicates its actions and receives input based on sensor feedback, enabling coordinated movement and block placement. Several key elements were successfully implemented in the simulation:

	# World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.		1. World Definition: A virtual lunar environment was created with adjusted gravity (1.62 m/s²) and a single light source to simulate lunar lighting. The ground’s friction was also modified to replicate lunar regolith’s coarse texture, providing realistic conditions for rover movement and block handling.
	# Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.		<br>
	# Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.		2. Building Block Sim 3D models of the building blocks, created in Blender, were integrated into Gazebo, with specific dimensions and densities to match real regolith-based blocks. This setup allowed for visualization and testing of block stacking and interlocking during the construction simulation.
			<br>
			3. Rover Definition: A simpll of the Lunar Zebro rover was created to represent the robot’s basic functions, including movement, block transportation, and climbing capability. This model allows the team to test the rover’s navigation and block handling in the simulated lunar environment, assessing its capacity to navigate and interact with other robots during assembly.
			<br>
	[[File:World.jpg\|355px]]		[[File:World.jpg\|355px]]
	[[File:Block rover.jpg\|445px]]		[[File:Block rover.jpg\|445px]]
	# Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.		<br>
			4. Visual Processing: Visual sensing ented to support navigation and the pick-and-place operations needed for block assembly. Using camera feeds processed with Python scripts, the simulation allows robots to detect objects and orient themselves relative to the structure, enhancing their precision during construction.
	<br>		<br>
	[[File:Visual.jpg\|800px]]		[[File:Visual.jpg\|800px]]

Veronika Laszlo: /* References */

2024-11-18T08:49:10Z

References

← Older revision		Revision as of 10:49, 18 November 2024
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	[1] https://journals-sagepub-com.tudelft.idm.oclc.org/doi/full/10.1177/09560599221120032		[1] https://journals-sagepub-com.tudelft.idm.oclc.org/doi/full/10.1177/09560599221120032
			<br>[2] https://www-sciencedirect-com.tudelft.idm.oclc.org/science/article/pii/S0094576521000060
	[2] https://www-sciencedirect-com.tudelft.idm.oclc.org/science/article/pii/S0094576521000060

	A detailed list of references can be found in the report.		A detailed list of references can be found in the report.
			<br><br>

	== '''Documents''' ==		== '''Documents''' ==

Veronika Laszlo: /* Documents */

2024-11-18T08:48:38Z

Documents

← Older revision		Revision as of 10:48, 18 November 2024
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	== '''Documents''' ==		== '''Documents''' ==

	Final Review Report:		Final Review Report: https://drive.google.com/file/d/1Er2iYMSDZjxrEJkuA7y2NYNbGaEAUfi3/view
			<br>Final Review Presentation: https://docs.google.com/presentation/d/1fb2wzot8qP2TfyWuwMF0_jj14WvuSKEK/view
	https://drive.google.com/file/d/1Er2iYMSDZjxrEJkuA7y2NYNbGaEAUfi3/view~~?usp=sharing~~		<br>MidTerm Review Report: https://drive.google.com/file/d/14WJJcZ5Xj9h5pXQu4b0YZ7Bsa8cFrGX7/view
			<br>MidTerm Review Presentation: https://docs.google.com/presentation/d/19oXyK8B-FB6GFMkq78D2bEIiNzABJOZb/view
	Final Review Presentation:		<br>Software: https://github.com/RienkMarsman/Lunar-Constructors

	https://docs.google.com/presentation/d/1fb2wzot8qP2TfyWuwMF0_jj14WvuSKEK/~~edit?usp=drive_link&ouid=115029285417639081594&rtpof=true&sd=true~~

	MidTerm Review Report:

	https://drive.google.com/file/d/14WJJcZ5Xj9h5pXQu4b0YZ7Bsa8cFrGX7/view~~?usp=sharing~~

	MidTerm Review Presentation:

	https://docs.google.com/presentation/d/19oXyK8B-FB6GFMkq78D2bEIiNzABJOZb/~~edit?usp=sharing&ouid=115029285417639081594&rtpof=true&sd=true~~

	~~GitHub Archive~~:

Henriette Bier: /* Documents */

2024-11-18T08:08:39Z

Documents

← Older revision		Revision as of 10:08, 18 November 2024
Line 160:		Line 160:

	https://docs.google.com/presentation/d/19oXyK8B-FB6GFMkq78D2bEIiNzABJOZb/edit?usp=sharing&ouid=115029285417639081594&rtpof=true&sd=true		https://docs.google.com/presentation/d/19oXyK8B-FB6GFMkq78D2bEIiNzABJOZb/edit?usp=sharing&ouid=115029285417639081594&rtpof=true&sd=true

			GitHub Archive:

Henriette Bier: /* Contributors */

2024-11-18T08:04:35Z

Contributors

← Older revision		Revision as of 10:04, 18 November 2024
Line 129:		Line 129:
	Team Members:		Team Members:

	# Deepanshu Kamlesh Punjabi (AE)		Deepanshu Kamlesh Punjabi (AE), Rienk Marsman (CESE), Mikolaj Helinski (AE), Yuran Wang (AM), and Yuanfu Pan (AE)
	# Rienk Marsman (CESE)
	# Mikolaj Helinski (AE)
	# Yuran Wang (AM)
	# Yuanfu Pan (AE)

	Coaches:		Coaches:

	# Dr. Dipl.-Ing. Henriette Bier (BK)		Dr. Dipl.-Ing. Henriette Bier (BK) and Dr. ir. Chris Verhoeven (EWI)
	# Dr. ir. Chris Verhoeven (EWI)

	== '''References''' ==		== '''References''' ==