Environments
September 29, 2021 ยท View on GitHub
Enviornments are based on robosuite, and for more information on the details of robosuite, including how to create an environment, please refer to robosuite doc
We describe the tasks included in this repository.
Task Descriptions
We provide a brief description of each environment included in this repo. The current focuse is on manipulation environments.
ToolUse

- Description: A simple tabletop domain to place a hammer into the cabinet and close the cabinet.
- Robot-type: Single-Arm
- Task-type: Single-Task
- Has rewards: Yes
- Has demonstrations: Yes
- No. of Demonstrations: 100
- Robot: Panda
- Data: Link
- Action Space: OSC_POSITION (3) + Gripper (1)
- Observations: Workspace images, Eye-in-Hand images, Proprioception
- Reference: Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
HammerPlace

- Description: A simple tabletop domain to place a hammer into the cabinet and close the cabinet.
- Robot-type: Single-Arm
- Task-type: Single-Task
- Has rewards: Yes
- Has demonstrations: Yes
- No. of Demonstrations: 100
- Robot: Panda
- Data: Link
- Action Space: OSC_POSITION (3) + Gripper (1)
- Observations: Workspace images, Eye-in-Hand images, Proprioception
- Reference: Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
Kitchen

- Description: A simple tabletop domain to place a hammer into the cabinet and close the cabinet.
- Robot-type: Single-Arm
- Task-type: Single-Task
- Has rewards: Yes
- Has demonstrations: Yes
- No. of Demonstrations: 100
- Robot: Panda
- Data: Link
- Action Space: OSC_POSITION (3) + Gripper (1)
- Observations: Workspace images, Eye-in-Hand images, Proprioception
- Reference: Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation
MultitaskKitchenDomain
- Description: A simple tabletop domain to place a hammer into the cabinet and close the cabinet.
- Robot-type: Single-Arm
- Task-type: Multi-Task
- No. of Tasks: 3
- Has rewards: Yes
- Has demonstrations: Yes
- No. of Demonstrations in total: 360
- No. of Demonstrations each task: 120
- Robot: Panda
- Data: Link
- Action Space: OSC_POSITION (3) + Gripper (1)
- Observations: Workspace images, Eye-in-Hand images, Proprioception
- Reference: Bottom-Up Skill Discovery from Unsegmented Demonstrations for Long-Horizon Robot Manipulation