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収集済み skill 43 件中 40 件を表示しています。
Grasp an awkward rigid part by the waists in its own silhouette — take the alpha shape of its point cloud from above, find where that boundary turns inward, and close the jaws across a pair of those inward runs. Use when a part has no graspable long axis and…
原文の言語: 英語
Fit the full 3D axis of an elongated segmented feature and grasp it with a perpendicular, inclination-aware parallel-jaw pose. Use for handles, rods, shafts, tools, utensils, and other linear parts whose pitch or roll matters; use grasping-short-axis instead…
原文の言語: 英語
Ordered centrelines of deformable linear objects — skeletonises a cable, rope or hose mask, recovers one traversal order through occlusion breaks and self-crossings (TrackDLO's chain merge), back-projects the ordered pixels through depth onto the object's…
原文の言語: 英語
Locates a language-described functional part of a rigid object or fixture from calibrated RGB-D and fits a typed loop, shaft, tip, aperture, surface, or region feature with a metric centre, axis, and radius, either inside an already-segmented parent or end to…
原文の言語: 英語
Executes a supplied feature-mating plan for an already-held rigid object - collision-aware planner legs tracked to millimetre precision, Cartesian servo for short corrections and fixture crossings, contact-controlled seating - then releases and retreats along…
原文の言語: 英語
Executes an ordered, collision-aware pose sequence for an already-grasped rigid object without releasing it - the escape from support, clear-space rotation, fixture transit and orientation-locked local legs of a carry plan, or only the free-space approach…
原文の言語: 英語
Direct IK align-then-descend grasping. The gripper pre-rotates to the grasp orientation at a safe height ABOVE the target before descending straight down, avoiding the twist-while-closing failure mode of a blended rotate+descend. The grasp rotation is rebuilt…
原文の言語: 英語
Reconstructs a planner collision world from calibrated RGB-D views alone, excluding the grasp target, the robot, and a perceived fixture mask, dropping depth-edge slivers and invalid-depth sheets, and carving the free space an intentional-contact goal needs…
原文の言語: 英語
Reobserves a grasped rigid object from the wrist cameras, estimates its functional feature in the TCP frame, and fits attached collision spheres, retaining the grasp-time transform at low confidence when the object is not seen. Use when a held object must be…
原文の言語: 英語
Perceives multiple source and destination instances and resolves language-conditioned one-to-one or many-to-one correspondences. Use when an instruction relates instances by spatial order, proximity, appearance, labels, or a shared destination and downstream…
原文の言語: 英語
Computes approach, engaged, and mate TCP poses from a held feature in the hand and a fixture feature, resolving free mate symmetries from the current robot pose without executing motion. Use when a held loop must go over a shaft or hook, or a held shaft or…
原文の言語: 英語
Plans the carry and engagement phases for an already-held rigid object: a clearance-first lift, the smallest feasible symmetry-equivalent reorientation, an orientation-locked transit above the fixture, or a direct plan to the approach pose; then a typed…
原文の言語: 英語
Move the currently-held object to a destination and release. The gripper enters this subgraph holding the object; on exit the object has been placed. For a walled container (basket / bin / box / tote) the default is a straight-Z descent to inside the walls…
原文の言語: 英語
Discovers a labelled four-compartment destination from RGB-D and repeatedly perceives one remaining source object with its matching metric destination region, using an identity table the graph supplies for what each label looks like and what its graspable…
原文の言語: 英語
Three independent checks on one grasp attempt -- that the hand arrived where it was sent before the jaws close, that the jaw gap after the close is not the mechanical stop, and that the lifted object is visible above the surface and near the hand. Use when a…
原文の言語: 英語
NVIDIA cuRobo motion planning — collision-free trajectories to grasp goalsets, transport with an attached object, constrained linear moves, single-pose planning, geometric IK, batch grasp feasibility, and joint-trajectory collision validation. Use when a…
原文の言語: 英語
Pure-math 3D geometry toolbox — back-project masks and depth to point clouds, DBSCAN-filter noise, fit oriented bounding boxes, derive top-down/front grasp poses, and reconstruct collision worlds from RGB-D frames. Use when a workflow needs perception…
原文の言語: 英語
Confirms from one RGB-D view that a released object went through an aperture, accepting either that it vanished into the container or that its visible centre lies below the rim within the opening's footprint, and routing not_placed when it is still visible…
原文の言語: 英語
Pins one end of a cable with the support hand before any crossing is attempted — asks the support-hand planner for the anchor grasp as joint-space legs, refuses it when its worst IK error is past the limit, streams the legs, closes the jaws to the plan's own…
原文の言語: 英語
Read a cable's ordered 3D centreline from one RGB-D frame and keep it current across a task — seed it from an unobstructed survey, re-fit it cold whenever the whole rod is in view, and fall back to tracking the carried prior only when the fresh fit comes back…
原文の言語: 英語
Survey a cable-routing bench from one overhead RGB-D frame — find every station (spool, cleat) by colour, roundness and height off the work surface, fit the cable's ordered centreline through a text-prompted segmenter, derive the side each crossing owes from…
原文の言語: 英語
Carries a cable's held free end into a terminal port after the last crossing — finds the port by vision as the terminal block furthest from the run's anchored end, takes the delivering hand and its working height from the support-hand planner, stages the…
原文の言語: 英語
Streams one planned crossing leg of a cable onto a routing station, lets the rod settle, then LOOKS — segments the rod, fits its centreline and counts how much of the curve lies inside the station's seat box on the side the route requires — and reports the…
原文の言語: 英語
Judge a finished cable route from a camera rather than from an evaluator — re-read the cable's centreline from the clear-view camera (tracking the carried prior when the support hand still hides one end), test that rod material lies on the owed side of every…
原文の言語: 英語
Turn a body over on the surface it rests on instead of carrying it — pinch two opposite walls LOOSELY and off centre so the pads act as a pin joint, lift so the surface and gravity stand the body up on its own edge, then press it onto the surface and pull the…
原文の言語: 英語
Move a held object so one of its declared features lands on a target point — a ring onto a hook, a tip into a hole, a plug at a bore. Composes the hand pose from the live object pose and the feature's centre in the object's own frame, recomputed each round so…
原文の言語: 英語
Propose top-down grasps whose jaws close ACROSS an elongated object's short axis, derived from its oriented box. Use when the object is longer than it is wide, as the first grasp-proposal rung — a handle, a spanner, a screwdriver, a bar, a laid-down bottle —…
原文の言語: 英語
Propose horizontal (side-entry) grasps swept around an object's oriented box — twelve azimuths ranked by jaw margin. Use when top-down access is blocked by an overhead shelf, a lid or a bin wall, or when the object's vertical dimension is the only one the…
原文の言語: 英語
Walk a ranked list of candidate grasp poses and take the first the arm can actually reach — IK solves it, the solution lands where it was asked, and (where `sim.clearance` is available) the arm is clear of the scene there. Use after any propose rung. This is…
原文の言語: 英語
Free-form and yes/no visual question answering against a hosted vision-language model (OpenRouter API by default; Vertex AI Gemini selectable by config). Use when a workflow needs scene descriptions, semantic checks ("is the drawer open?"), or LLM-judged…
原文の言語: 英語
Top-down grasping via a fast axis-locked linear descend with a collision-aware cuRobo fallback. A single `grasp_descend_linear` node rises, translates over the target, and descends straight down (Z-locked, orientation held) onto the object; if the…
原文の言語: 英語
Loop-head perception for pack-all / clean-all-items tasks. From ONE observation it localizes BOTH the destination container (basket, bin, box) AND the next remaining target item, using the pairwise VLM crop tournament with a container-excluding description so…
原文の言語: 英語
Fast single-path 3D object perception. Runs Grounding-DINO broad detection, a pairwise VLM crop tournament to identify the target box, SAM3 box segmentation, and depth back-projection to a world-frame point cloud, finished by geometry.filter_and_compute_obb…
原文の言語: 英語
Run the MolmoAct LIBERO checkpoint (allenai/MolmoAct-7B-D-LIBERO-0812) as a closed-loop VLA policy for the dexterous pick-and-place segment of a task. Drives a Franka Panda in the LIBERO/robosuite OSC_POSE action space from agentview + wrist cameras, served…
原文の言語: 英語
Run the openpi π0.5 LIBERO checkpoint (pi05_libero) as a closed-loop VLA policy for the dexterous pick-and-place segment of a task. Drives a Franka Panda in the LIBERO/robosuite OSC_POSE action space from agentview + wrist cameras; the policy server is the…
原文の言語: 英語
Open-vocabulary 2D object detection via the Gemini Robotics-ER API — one call returns pixel-space bounding boxes with labels and scores for a text query. Use when a workflow needs a detection box to seed segmentation (e.g. sam3.segment_box) or coarse…
原文の言語: 英語
Grounding DINO zero-shot object detection — natural-language queries to labeled 2D bounding boxes with confidence scores. Use when a workflow needs to locate named objects in an RGB image before segmenting or grasping them.
原文の言語: 英語
Visual pointing and Q&A via the Molmo VLM served from a self-hosted vLLM endpoint (OpenAI-compatible API). Use when a workflow needs a single pixel coordinate for a named object (point_prompt) or Molmo-grade visual question answering and a vLLM server is…
原文の言語: 英語
Segment Anything 3 — text-, point-, and box-prompted instance segmentation, plus a stateful streaming video tracker that carries object identity through SAM3's memory bank. Use when a workflow needs open-vocabulary masks from an RGB image or needs to follow…
原文の言語: 英語
Deterministic short-axis-aligned grasp with CuRobo. The grasp pose is computed geometrically (NOT sampled/scored) — the gripper approaches straight down with its finger-opening axis locked to the OBB's SHORTER horizontal axis, so the jaws close ACROSS the…
原文の言語: 英語
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