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2D Environment
The dataset used in the paper is a 2D environment where experiments are done. -
MuJoCo Environment
The dataset used in the paper is a MuJoCo environment, with 13-states and 4-control inputs, nonlinear dynamics with polynomial dependency in the control inputs. -
Active Perception
The dataset used in the paper is not explicitly mentioned, but it is implied that it is a collection of images and videos of a kitchen scene. -
Design and use paradigms for gazebo, an open-source multi-robot simulator
Design and use paradigms for gazebo, an open-source multi-robot simulator. -
Robotcar Dataset
The dataset used for training and evaluation of the proposed framework for unsupervised metric relocalization. -
Spot - the agile mobile robot
Spot - the agile mobile robot -
Raspberry Pi Tabanlı Akıllı Robot Kol Kontrol Sistemi
3D modelleme programları ile tasarlanan robotik kol sistemi, Raspberry Pi ve USB kamera kullanılarak bilgisayar görme uygulaması gerçekleştirilmiştir. -
MuJoCo environments
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used MuJoCo environments from the OpenAI gym. -
Soft Gripper Dataset
The Soft Gripper Dataset, a benchmark for soft robotic design. -
Mujoco control tasks
The authors used the Mujoco control tasks, including Ant-v2, HalfCheetah-v2, Hopper-v2, and Walker2d-v2. -
Category-level Shape Estimation for Densely Cluttered Objects
A category-level shape estimation framework for densely cluttered objects -
Four Rooms domain
The Four Rooms domain is a classic reinforcement learning environment where an agent must navigate a grid world to reach one of four goals. -
Robot Execution Failures dataset
The dataset contains force and torque measurements along the 3 axes (x, y and z) of an assembly (pick-and-place) robot after detecting a failure. -
Humanoid Walk
The Humanoid Walk dataset is a collection of images of a humanoid robot performing various tasks. -
Desk Cleanup environment
The Desk Cleanup environment, which consists of a robotic arm and several blocks on a desk. -
Fetch Manipulation environment with 3 blocks
The Fetch Manipulation environment with 3 blocks, which consists of a robotic arm with a gripper and three blocks. -
Fetch Manipulation environment with 2 blocks
The Fetch Manipulation environment with 2 blocks, which consists of a robotic arm with a gripper and two blocks. -
Fetch Manipulation environment
The Fetch Manipulation environment built on top of Mujoco, which consists of a robotic arm with a gripper and square blocks. -
LiDAR Localizability Estimation Dataset
The dataset used for training and testing the proposed localizability estimation approach.
