Training Data by Task
Browse our catalog of robotics training data organized by task category. Each page covers data requirements, compatible models, and how Claru delivers production-ready datasets.
Object Manipulation
Training data for object manipulation tasks: pick-and-place, stacking, and general-purpose grasping. Data requirements, formats, and model compatibility for robot learning.
Dexterous Manipulation
High-fidelity training data for dexterous robotic manipulation: multi-fingered grasping, in-hand reorientation, and precision tasks requiring fingertip control.
Grasping
Production-ready grasping datasets for robotic systems: parallel-jaw, suction, and multi-fingered grasps across 1000+ object categories with 6-DoF grasp annotations.
Teleoperation
Scalable teleoperation data collection for robot imitation learning: VR, leader-follower, exoskeleton interfaces with synchronized multi-modal recordings.
Kitchen Task
Training data for kitchen manipulation tasks: cooking, cleaning, organizing. Multi-step long-horizon demonstrations in real kitchen environments.
Navigation
Training data for robot navigation: indoor mapping, outdoor traversal, obstacle avoidance. Multi-sensor recordings with semantic maps and trajectory annotations.
Locomotion
Training data for legged robot locomotion: walking, running, stair climbing, terrain traversal. Motion capture and proprioceptive recordings for quadrupeds and bipeds.
Assembly Task
Training data for robotic assembly: part insertion, screw driving, connector mating. Precision manipulation demonstrations with force-guided assembly sequences.
Bin Picking
Training data for robotic bin picking: cluttered bin grasping, singulation, and sorting. Point cloud and RGB-D datasets with grasp annotations for warehouse automation.
Tool Use
Training data for robotic tool use: hammering, screwdriving, scooping, cutting. Demonstrations capturing tool-object interaction dynamics and affordance reasoning.
Bimanual Manipulation
Training data for bimanual robot manipulation: coordinated two-arm tasks, handovers, collaborative assembly. ALOHA-compatible demonstrations with synchronized dual-arm recordings.
Agricultural Robotics
Training data for agricultural robots: crop picking, weeding, pruning, soil analysis. Outdoor field recordings with GPS, multispectral imaging, and manipulation data.
Mobile Manipulation
Training data for mobile manipulation robots: navigating to objects, picking from shelves, and performing tasks while moving. Whole-body control demonstrations.
Surgical Manipulation
Training data for surgical robots: tissue manipulation, suturing, cutting. Sub-millimeter precision demonstrations with force feedback for autonomous surgical systems.
Human-Robot Handover
Training data for human-robot handovers: giving and receiving objects, timing prediction, grasp adaptation. Multi-modal recordings of natural human-robot object exchange.
Door & Cabinet Manipulation
Training data for articulated object manipulation: doors, cabinets, drawers, refrigerators. Demonstrations capturing handle grasping, opening trajectories, and force profiles.
Deformable Object Folding
Training data for deformable object manipulation: cloth folding, fabric handling, soft object manipulation. Demonstrations with state estimation for garments and textiles.
Liquid Pouring
Training data for robotic pouring: liquid transfer, measuring, dispensing. Demonstrations capturing fill levels, pour dynamics, and container handling for kitchen and lab robots.
Wrist Camera
Wrist-mounted camera data for robot manipulation: close-up hand-object views, in-hand sensing, and eye-in-hand visual servoing datasets for visuomotor policies.
Tactile Sensor
Tactile sensor data for robot manipulation: GelSight, DIGIT, and BioTac recordings with contact geometry, force distribution, and slip detection annotations.
Warehouse Automation
Training data for warehouse robots: order picking, packing, palletizing, sorting. Multi-robot recordings with barcode scanning, bin management, and logistics workflow data.
Construction Robotics
Training data for construction robots: bricklaying, welding, rebar tying, site navigation. Outdoor recordings with heavy payload manipulation and structural assembly data.
Underwater Manipulation
Training data for underwater robots: subsea manipulation, pipeline inspection, marine sampling. ROV and AUV recordings with turbid water visual data and current compensation.
Aerial Manipulation
Training data for aerial manipulation: drone grasping, package delivery, inspection contact. UAV recordings with flight dynamics, wind compensation, and manipulation coordination.
Food Preparation
Training data for food preparation robots: ingredient handling, cutting, mixing, plating. Multi-step cooking demonstrations with food state tracking and recipe grounding.
Cleaning Task
Training data for cleaning robots: wiping surfaces, mopping floors, organizing clutter. Demonstrations with cleanliness assessment and coverage path planning data.
Table Setting
Training data for table setting robots: placing plates, utensils, glasses in correct arrangements. Spatial reasoning demonstrations with placement precision and cultural variation.
Object Rearrangement
Training data for object rearrangement: scene organization, shelf stocking, desk tidying. Goal-conditioned demonstrations with spatial reasoning and efficiency metrics.
Cable Routing
Training data for deformable linear object manipulation: cable routing, wire harness assembly, hose connection. Demonstrations capturing cable state estimation and path planning.
Insertion Task
Training data for precision insertion: peg-in-hole, connector mating, key insertion. Sub-millimeter demonstrations with force-guided search strategies and compliance control.
Packing Task
Training data for robotic packing: box filling, item arrangement, and order fulfillment. Dense manipulation demonstrations with spatial reasoning and deformable packaging.
Stacking Task
Training data for robotic stacking: block towers, plate stacking, pallet layering. Stability-aware manipulation demonstrations with contact physics and balance reasoning.
Pick-and-Place
Training data for robotic pick-and-place: object grasping, transport, and precise placement. Full manipulation trajectories with grasp and placement annotations for policy learning.
Pushing Task
Training data for robotic pushing: non-prehensile manipulation, object sliding, and planar rearrangement. Contact-dynamics demonstrations with friction modeling and push prediction.
Surface Wiping
Training data for robotic surface wiping: cleaning, polishing, and decontamination. Compliance-controlled trajectories with force modulation and coverage planning annotations.
Screw Driving
Training data for robotic screw driving: fastening, threading, and torque-controlled tightening. Force-guided demonstrations with torque profiles and cross-threading detection.
Peg Insertion Task
Training data for robotic peg insertion: tight-tolerance assembly, force-guided search, and clearance characterization. Precision manipulation demonstrations with sub-millimeter accuracy.
Cloth Folding Task
Training data for robotic cloth folding: garment manipulation, towel folding, and fabric handling. Deformable object demonstrations with keypoint tracking and mesh state estimation.
Drawer Manipulation Task
Training data for robotic drawer manipulation: opening, closing, and content access. Articulated object demonstrations with handle grasping and joint state tracking.
Button Pressing Task
Training data for robotic button pressing: mechanical buttons, toggles, and touchscreens. Precision contact demonstrations with force profiles and activation state detection.
Valve Turning Task
Training data for robotic valve turning: handwheel rotation, ball valve operation, and lever manipulation. Torque-controlled demonstrations with angular tracking and regrasping strategies.
Welding Task
Training data for robotic welding: seam tracking, torch control, and weld quality. Thermal-monitored demonstrations with bead geometry and parameter annotations for learned welding policies.
Painting Task
Training data for robotic painting: spray control, coverage planning, and coating quality. Film thickness demonstrations with spray parameter annotations for learned painting policies.
Inspection Task
Training data for robotic inspection: visual defect detection, dimensional verification, and surface quality assessment. Multi-sensor demonstrations with defect annotations for learned inspection policies.
Palletizing Task
Training data for robotic palletizing: layer planning, mixed-case stacking, and load optimization. Stability-annotated demonstrations with weight distribution and packing efficiency for learned palletizing policies.
Need Data for a Different Task?
We collect custom datasets for any robotics task. Tell us what you need and we will scope a collection plan.
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