Contact-Constrained Lower-Limb Joint-Offset Calibration for Humanoid Robots
- URL: http://arxiv.org/abs/2609.02306v1
- Date: Wed, 02 Sep 2026 08:51:37 GMT
- Title: Contact-Constrained Lower-Limb Joint-Offset Calibration for Humanoid Robots
- Abstract summary: We present a self-contained calibration framework exploiting only onboard joint encoders and a pelvis-mounted IMU.<n>A Hessian eigenstructure analysis shows that parallel pitch axes induce a rotational coupling.<n>A standing-posture knee prior anchors the remaining weak pitch-chain decomposition.
- Score: 4.637705968841629
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Accurate joint encoder offsets are essential for kinematic consistency in humanoid lower limbs, yet existing calibration methods typically require external motion-capture systems or fiducial targets. We present a self-contained calibration framework exploiting only onboard joint encoders and a pelvis-mounted IMU during static double-support contact. The inter-foot transform from forward kinematics must stay constant when both feet are fixed; minimizing its posture-dependent dispersion yields a nonlinear least-squares problem over the 12-dimensional offset vector. A Hessian eigenstructure analysis shows that parallel pitch axes induce a rotational coupling. Orientation residuals then observe only the pitch-offset sum, while translation and posture diversity set the remaining numerical observability. For the A3 pitch-to-roll-to-yaw ordering, hip-roll and hip-yaw excitation reduce hip-pitch coupling. A standing-posture knee prior then anchors the remaining weak pitch-chain decomposition. Simulation and real-machine injection tests show consistent recovery, and on held-out recordings calibration reduces foot-height RMS residuals from 4.26 to 2.20 mm on A3 and from 8.03 to 1.43 mm on A2. An independent LiDAR-inertial reference checks the pitch-coupled channel. Removing an injected pitch offset moves the leg-odometry vertical drift back toward the LiDAR trajectory. A few static double-support stances thus provide contact-consistent corrections for well-excited directions. Individual offsets in the weak pitch chain remain prior-dependent.
Related papers
- COEC: Calibrated Orthogonal-Equivalence Compensation for Structured Pruning of Large Language Models [13.501861808796873]
We propose COEC (Calibrated Orthogonal-Equivalence Compensation) as a training-free compensation framework for structured pruning.<n>Experiments on the Llama-3, Llama-3.1, and Qwen2.5 model families show that COEC improves perplexity on every model and zero-shot accuracy in most settings.
arXiv Detail & Related papers (2026-08-21T14:20:49Z) - Beyond Control Points: Arcsecond Relative-Motion Estimation of Vision Measurement Platforms With Incomplete or Absent Control Fields [43.43572961146893]
We develop a control-adaptive differential framework that estimates platform motion directly from image displacements and known 3D points.<n>We derive the rotation observability condition, a leakage bound for unmodeled translation and nonrigid point motion, and the single-point axial-prior bias law.
arXiv Detail & Related papers (2026-08-14T03:41:30Z) - Preview-Based Relative-Motion Control of an Insertion Tool for Neural-Thread Placement in Pulsating Tissue [3.1147891075060095]
This paper formulates thread insertion in tissue-relative coordinates.<n>A constrained MPC regulates the tip relative to that prediction.<n>A 3-DOF extension reduces lateral shear velocity from 1.34 to 0.50mm/s at 2.1um lateral placement error.
arXiv Detail & Related papers (2026-08-09T18:53:32Z) - ASTRA: Asynchronous Spatio-Temporal Reconstruction via Trajectory Alignment [86.35109211408489]
We propose ASTRA, a framework that introduces 2D motion trajectories as explicit, texture-agnostic supervision for asynchronous dynamic reconstruction.<n>ASTRA preserves high-frequency spatial details and sustains strong robustness even under severe asynchrony with up to 25-frame offsets, achieving approximately 1.4 dB PSNR improvement, reducing temporal-offset MAE by 54.0%, and nearly quadrupling the synchronization success rate.
arXiv Detail & Related papers (2026-08-03T10:06:45Z) - MoCapAnything V2: End-to-End Motion Capture for Arbitrary Skeletons [56.68975315643491]
We present the first fully end-to-end framework in which Videoto-Pose and Pose-to-Rotation are learnable and optimized jointly.<n>We show that our method reduces rotation error from 17 degrees to 10 degrees, and to 6.54 degrees on unseen skeletons, while achieving 20x faster inference than mesh-based pipelines.
arXiv Detail & Related papers (2026-04-30T17:16:38Z) - Off-Axis Compliant RCM Joint with Near-Isotropic Stiffness and Minimal Parasitic Error [5.683284334858979]
This paper presents an off-axis, monolithic compliant Remote Center of Motion (RCM) joint for neuroendoscopic manipulation.<n>The end-effector is placed outside the tetrahedral flexure to improve line of sight, facilitate sterilization, and allow rapid tool release.
arXiv Detail & Related papers (2026-03-30T09:59:18Z) - Design of an In-Pipe Robot with Contact-Angle-Guided Kinematic Decoupling for Crosstalk-Suppressed Locomotion [20.379309593600414]
In-pipe inspection robots must traverse confined pipeline networks with elbows and three-dimensional fittings.<n>In compact V-shaped platforms, these functions often rely on shared contacts or indirect actuation.<n>This paper presents a V-shaped in-pipe robot with a joint-axis-and-wheel-separation layout that provides two physically independent actuation channels.
arXiv Detail & Related papers (2026-03-28T11:40:36Z) - Geometry OR Tracker: Universal Geometric Operating Room Tracking [61.399734016038614]
In operating rooms (OR), world-scale multi-view 3D tracking supports downstream applications such as surgeon behavior recognition.<n>Camera calibration and RGB-D registration are always unreliable, leading to cross-view geometric inconsistency.<n>We introduce Geometry OR Tracker, a two-stage pipeline that rectifies imprecise calibration into a scaleconsistent and geometrically consistent camera setup.
arXiv Detail & Related papers (2026-02-28T09:21:21Z) - Coordinate Transformer: Achieving Single-stage Multi-person Mesh
Recovery from Videos [91.44553585470688]
Multi-person 3D mesh recovery from videos is a critical first step towards automatic perception of group behavior in virtual reality, physical therapy and beyond.
We propose the Coordinate transFormer (CoordFormer) that directly models multi-person spatial-temporal relations and simultaneously performs multi-mesh recovery in an end-to-end manner.
Experiments on the 3DPW dataset demonstrate that CoordFormer significantly improves the state-of-the-art, outperforming the previously best results by 4.2%, 8.8% and 4.7% according to the MPJPE, PAMPJPE, and PVE metrics, respectively.
arXiv Detail & Related papers (2023-08-20T18:23:07Z) - Pose-Oriented Transformer with Uncertainty-Guided Refinement for
2D-to-3D Human Pose Estimation [51.00725889172323]
We propose a Pose-Oriented Transformer (POT) with uncertainty guided refinement for 3D human pose estimation.
We first develop novel pose-oriented self-attention mechanism and distance-related position embedding for POT to explicitly exploit the human skeleton topology.
We present an Uncertainty-Guided Refinement Network (UGRN) to refine pose predictions from POT, especially for the difficult joints.
arXiv Detail & Related papers (2023-02-15T00:22:02Z) - MotioNet: 3D Human Motion Reconstruction from Monocular Video with
Skeleton Consistency [72.82534577726334]
We introduce MotioNet, a deep neural network that directly reconstructs the motion of a 3D human skeleton from monocular video.
Our method is the first data-driven approach that directly outputs a kinematic skeleton, which is a complete, commonly used, motion representation.
arXiv Detail & Related papers (2020-06-22T08:50:09Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.