Consolidated References

269 references

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[113] Konstantinos Daniilidis (1999). Hand-Eye Calibration Using Dual Quaternions. Annotated primary reading. DOI: 10.1177/02783649922066213. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Algebraic least squares still needs nonlinear refinement and uncertainty checks under realistic noise.
[114] Zhengyou Zhang (2000). A Flexible New Technique for Camera Calibration. Annotated primary reading. DOI: 10.1109/34.888718. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Low reprojection error can coexist with poor coverage, target nonplanarity, rolling shutter, depth bias, or extrapolation outside the calibrated volume.
[115] Sudeep Dasari et al. (2019). RoboNet: Large-Scale Multi-Robot Learning. Annotated primary reading. canonical URL. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Dataset coverage, action semantics, covariate shift, horizon, and recovery policy limit transfer.
[116] Ankur Handa et al. (2020). DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System. Annotated primary reading. arXiv:1910.03135. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Delay, sampling, saturation, filtering, environment stiffness, and hardware interfaces bound the reported behavior.
[117] Catie Cuan et al. (2024). Leveraging Haptic Feedback to Improve Data Quality and Quantity for Deep Imitation Learning Models. Annotated primary reading. arXiv:2211.03020. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[118] Carolina Higuera et al. (2024). Sparsh: Self-Supervised Touch Representations for Vision-Based Tactile Sensing. Annotated primary reading. arXiv:2410.24090. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[119] Liu et al. (2024). Unified Calibration of Hand–Eye, Kinematic Parameters, and TCP. Annotated primary reading. DOI: 10.1108/ria-06-2023-0076. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Requires laser-tracker-grade measurements
[120] Zilin Si et al. (2024). DiffTactile: A Physics-based Differentiable Tactile Simulator for Contact-Rich Robotic Manipulation. Annotated primary reading. arXiv:2403.08716. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[121] Various (2024). TacEx: GelSight Tactile Simulation in Isaac Sim. Annotated primary reading. arXiv:2411.04776. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[122] Yunlong Dong et al. (2025). GEX: Democratizing Dexterity with Fully-Actuated Dexterous Hand and Exoskeleton Glove. Annotated primary reading. arXiv:2506.04982. — Role: primary reading for teleoperation, dataset, and calibration provenance. Limitation: Three fingers do not cover five-finger tasks
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[256] Tobias Kunz & Mike Stilman (2012). Time-Optimal Trajectory Generation for Path Following with Bounded Acceleration and Velocity. Annotated primary reading. DOI: 10.15607/rss.2012.viii.027. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Performance depends on geometry, initialization, objectives, and model fidelity; feasibility does not imply controller tracking.
[257] Alexandre Janot et al. (2014). Identification of Robot Dynamics with the Instrumental Variable Method. Annotated primary reading. DOI: 10.1109/TRO.2014.2319567. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Requires a useful initial model and noise assumptions; unmodeled friction and controller nonlinearities can remain.
[258] Silvio Traversaro et al. (2016). Identification of Fully Physical Consistent Inertial Parameters using Optimization on Manifolds. Annotated primary reading. DOI: 10.1109/IROS.2016.7759801. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Optimization is nonconvex and still depends on excitation, torque quality, and correct rigid-body structure.
[259] Hung Pham & Quang-Cuong Pham (2018). TOPP-RA: A Fast and Robust Implementation of Time-Optimal Path Parameterization for Robots. Annotated primary reading. DOI: 10.1109/tro.2018.2821155. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Performance depends on geometry, initialization, objectives, and model fidelity; feasibility does not imply controller tracking.
[260] Patrick M. Wensing et al. (2018). Linear Matrix Inequalities for Physically Consistent Inertial Parameter Identification. Annotated primary reading. DOI: 10.1109/TRO.2017.2769099. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Physical consistency does not guarantee identifiability, correct friction/actuator models, or transfer under different payloads.
[261] Fanbo Xiang et al. (2020). SAPIEN: A SimulAted Part-based Interactive ENvironment. Annotated primary reading. DOI: 10.1109/cvpr42600.2020.01104. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Simulation throughput or benchmark success does not establish real contact fidelity or hardware safety.
[262] C. Daniel Freeman et al. (2021). Brax: A Differentiable Physics Engine for Large Scale Rigid Body Simulation. Annotated primary reading. arXiv:2106.13281. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Simulation throughput or benchmark success does not establish real contact fidelity or hardware safety.
[263] Han et al. (2024). Flange-Based 3D Hand–Eye Calibration for Soft Robotic Tactile Welding. Annotated primary reading. DOI: 10.1016/j.measurement.2024.115376. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Welding/tactile geometry differs from tabletop RGB-D
[264] Hongjie Fang et al. (2024). AirExo: Low-Cost Exoskeletons for Learning Whole-Arm Manipulation in the Wild. Annotated primary reading. arXiv:2309.14975. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[265] Tomohiro Motoda et al. (2025). AIST Bimanual Manipulation Dataset. Annotated primary reading. canonical URL. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: ALOHA actions and camera placement are embodiment-specific
[266] Yuhan Wang et al. (2025). ExDex: Dexterous Non-Prehensile Manipulation for Ungraspable Objects. Annotated primary reading. arXiv:2503.23120. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Exact object counts and trial denominators require full-table extraction
[267] Chi Zhang et al. (2025). UniTacHand: Unified Spatio-Tactile Representation for Human to Robotic Hand Skill Transfer. Annotated primary reading. arXiv:2512.21233. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[268] Yeseung Kim et al. (2026). A Visuo-Tactile Data Collection System with Haptic Feedback for Coarse-to-Fine Imitation Learning. Annotated primary reading. arXiv:2605.08757. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: Platform, task, dataset, and evaluation assumptions must be checked in the primary paper before transferring a result.
[269] Junji Oaki et al. (2026). A Reproducible and Physically Feasible Dynamic Parameter Identification Framework for a Low-Cost Robot Arm. Annotated primary reading. arXiv:2605.15949. — Role: primary reading for common task contracts, validation, and promotion artifacts. Limitation: One low-cost arm does not cover tendon hands or torque-sensor cobots