347 datasets found

Groups: Robotics Object Type: dataset

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  • Mingling robots

    The dataset of a real-life collective motion scenario of a mingling robots swarm.

  • Cross-Scale Dataset

    The cross-scale dataset is built from the Scott Reef 25 dataset (2009) provided by Australian Centre for Field Robotics (ACFR). The dataset contains 1000 data tuples to split...

  • PartNet and ShapeNetSem datasets

    The dataset used in the paper for composable part-based manipulation (CPM) task.

  • AI2-THOR

    The dataset used in the paper is the AI2-THOR dataset, which is a 3D indoor environment dataset. The agent must navigate from a random starting position to a pre-specified...

  • MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices

    Depth prediction is fundamental for many useful applications on computer vision and robotic systems. On mobile phones, the performance of some useful applications as augmented...

  • NTU4DRadLM

    A 4D radar-centric multi-modal dataset for localization and mapping, covering structured, unstructured, and semi-structured environments, with low- and fast-speeds.

  • Habitat

    The Habitat dataset is a large-scale indoor simulator dataset containing 145 semantically-annotated indoor scenes.

  • Warehouse Robot Planning

    The dataset used in the paper is a Markov decision process (MDP) model of a robotic mission plan, which includes a set of states, actions, transitions, and labels.

  • Kuka Object Manipulation Datasets

    The dataset is used for training and testing the Equivariant Diffuser for Generating Interactions (EDGI) algorithm.

  • Navigation and Manipulation Datasets

    The dataset is used for training and testing the Equivariant Diffuser for Generating Interactions (EDGI) algorithm.

  • Giraffe

    The dataset used in the paper is a collection of images of objects in 3D space, with multiple views of each object.

  • Nerf++

    The dataset used in the paper is a collection of images of objects in 3D space, with multiple views of each object.

  • NeRF-RL

    The dataset used in the paper is a collection of images of objects in 3D space, with multiple views of each object.

  • Robomimic Environment

    Robomimic environment consists of tasks such as lift, can, square, tool-hang, and transport.

  • D4RL Benchmark Suite

    D4RL benchmark suite consists of tasks such as locomotion, antmaze, adroit, and kitchen.

  • Action-Quantized Offline Reinforcement Learning for Robotic Skill Learning

    Offline reinforcement learning (RL) paradigm provides a general recipe to convert static behavior datasets into policies that can perform better than the policy that collected...

  • Tubedet

    The dataset is used for training YOLO-based object detection models. It contains images of test tubes held in racks and synthetic images created by pasting tube cap regions onto...

  • RL-VLM-AR

    The dataset used in the paper is a set of real-world robot learning tasks, including Create-Reacher, UR5-VisualReacher, Vector-ChargerDetector, and Franka-VisualReacher.

  • Deep Compositional Robotic Planners

    A dataset for training a compositional hierarchical recurrent network to follow natural language commands in continuous environments.

  • Quadrotor Disturbance Dataset

    The dataset used in this paper is a collection of disturbance data for a quadrotor drone, with 10,000 samples at 100 Hz.
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