97 datasets found

The dataset used in the paper is a 2D environment where experiments are done.

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.

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.

The dataset and codebase for the paper Investigating the Use of Video-Language Models as Behavior Critics for Catching Undesirable Agent Behaviors

The dataset used for training and evaluation of the proposed framework for unsupervised metric relocalization.

The dataset used in the paper for one-shot visual imitation via attributed waypoints and demonstration augmentation.

The dataset used in the paper for one-shot visual imitation via attributed waypoints and demonstration augmentation.

The dataset used in the paper for one-shot visual imitation via attributed waypoints and demonstration augmentation.

The dataset used in the paper for one-shot visual imitation via attributed waypoints and demonstration augmentation.

Spot - the agile mobile robot

The dataset used in the paper is a pendulum experiment.

3D modelleme programları ile tasarlanan robotik kol sistemi, Raspberry Pi ve USB kamera kullanılarak bilgisayar görme uygulaması gerçekleştirilmiştir.

The dataset used in the paper is not explicitly described, but it is mentioned that the authors used MuJoCo environments from the OpenAI gym.

The Soft Gripper Dataset, a benchmark for soft robotic design.

The authors used the Mujoco control tasks, including Ant-v2, HalfCheetah-v2, Hopper-v2, and Walker2d-v2.

A category-level shape estimation framework for densely cluttered objects

The dataset used in this paper is the Robotics (RB) dataset, which is a benchmark problem for constraint answer set programming.

The Four Rooms domain is a classic reinforcement learning environment where an agent must navigate a grid world to reach one of four goals.

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.