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๐Ÿ” nick milton ๐Ÿ“‚ Engineering
Showing 1429 results for "nick milton" in Engineering
Engineering Preprint PDF DOI

RopeDreamer: A Kinematic Recurrent State Space Model for Dynamics of Flexible Deformable Linear Objects

Tim Missal, Lucas Domingues, Berk Guler, Simon Manschitz, Jan Peters, Paula Dornhofer Paro Costa ยท 2026

The robotic manipulation of Deformable Linear Objects (DLOs) is a fundamental challenge due to the high-dimensional, non-linear dynamics of flexible structures and the complexity of maintaining topoloโ€ฆ

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Engineering Preprint PDF DOI

A Real-time Scale-robust Network for Glottis Segmentation in Nasal Transnasal Intubation

Yang Zhou, Chaoyong Zhang, Ruoyi Hao, Huilin Pan, Yang Zhang, Hongliang Ren ยท 2026

Nasotracheal intubation (NTI) is a critical clinical procedure for establishing and maintaining patient airway patency. Machine-assisted NTI has emerged as a pivotal approach for optimizing proceduralโ€ฆ

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Engineering Preprint PDF DOI

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

Xue Qin, Simin Luan, John See, Cong Yang, Zhijun Li ยท 2026

Skill libraries in deployed robotic systems are continually updated through fine-tuning, fresh demonstrations, or domain adaptation, yet existing typed-composition methods (BLADE, SymSkill, Generativeโ€ฆ

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Engineering Preprint PDF DOI

DiscreteRTC: Discrete Diffusion Policies are Natural Asynchronous Executors

Pengcheng Wang, Kaiwen Hong, Chensheng Peng, Katherine Driggs-Campbell, Masayoshi Tomizuka, Chenfeng Xu, Chen Tang ยท 2026

Unlike chatbots, physical AI must act while the world keeps evolving. Therefore, the inter-chunk pause of synchronous executors are fatal for dynamic tasks regardless of how fast the inference is. Asyโ€ฆ

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Engineering Preprint PDF DOI

An analysis of sensor selection for fruit picking with suction-based grippers

Eva Krueger, Marcus Rosette, Joseph R. Davidson ยท 2026

Robotic fruit harvesting often fails to reliably detect whether a fruit has been successfully picked, limiting efficiency and increasing crop damage. This problem is difficult due to compliant fruit aโ€ฆ

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Engineering Preprint PDF DOI

Betting for Sim-to-Real Performance Evaluation

Zaid Mahboob, Yujia Chen, Bowen Weng ยท 2026

This paper studies the problem of robot performance evaluation, focusing on how to obtain accurate and efficient estimates of real-world behavior under severe constraints on physical experimentation. โ€ฆ

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Engineering Preprint PDF DOI

Cortex 2.0: Grounding World Models in Real-World Industrial Deployment

Adriana Aida, Walid Amer, Katarina Bankovic, Dhruv Behl, Fabian Busch, Annie Bhalla, Minh Duong, Florian Gienger, Rohan Godse, Denis Grachev, Ralf Gulde, Elisa Hagensieker, Junpeng Hu, Shivam Joshi, Tobias Knobloch, Likith Kumar, Damien LaRocque, Keerthana Lokesh, Omar Moured, Khiem Nguyen, Christian Preyss, Ranjith Sriganesan, Vikram Singh, Carsten Sponner, Anh Tong, Dominik Tuscher, Marc Tuscher, Pavan Upputuri ยท 2026

Industrial robotic manipulation demands reliable long-horizon execution across embodiments, tasks, and changing object distributions. While Vision-Language-Action models have demonstrated strong generโ€ฆ

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Engineering Preprint PDF DOI

Wrench-Aware Admittance Control for Unknown-Payload Manipulation

Hossein Gholampour, Logan E. Beaver ยท 2026

Unknown payloads can strongly affect compliant robotic manipulation, especially when the payload center of mass is not aligned with the tool center point. In this case, the payload generates an offsetโ€ฆ

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Engineering Preprint PDF DOI

Path Integral Control for Partially Observed Systems with Controlled Sensing

Goutam Das, Takashi Tanaka ยท 2026

Path integral control in Gaussian belief space requires a structural matching condition between the observation-driven diffusion of the belief mean and the actuation authority, which a fixed observatiโ€ฆ

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Engineering Preprint PDF DOI

Safe Control using Learned Safety Filters and Adaptive Conformal Inference

Sacha Huriot, Ihab Tabbara, Hussein Sibai ยท 2026

Safety filters have been shown to be effective tools to ensure the safety of control systems with unsafe nominal policies. To address scalability challenges in traditional synthesis methods, learning-โ€ฆ

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Engineering Preprint PDF DOI

A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation

Hanyang Hu, Cameron Siu, Mo Chen ยท 2026

Autonomous navigation requires planning to reach a goal safely and efficiently in complex and potentially dynamic environments. Graph search-based algorithms are widely adopted due to their generalityโ€ฆ

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Engineering Preprint PDF DOI

Leveraging VR Robot Games to Facilitate Data Collection for Embodied Intelligence Tasks

Yihan Zhang, Ziyun Huang, Linqi Ye ยท 2026

Collecting embodied interaction data at scale remains costly and difficult due to the limited accessibility of conventional interfaces. We present a gamified data collection framework based on Unity tโ€ฆ

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Engineering Preprint PDF DOI

Differentiable Object Pose Connectivity Metrics for Regrasp Sequence Optimization

Liang Qin, Weiwei Wan, Kensuke Harada ยท 2026

Regrasp planning is often required when one pick-and-place cannot transfer an object from an initial pose to a goal pose while maintaining grasp feasibility. The main challenge is to reason about sharโ€ฆ

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Boundary Sampling to Learn Predictive Safety Filters via Pontryagin's Maximum Principle

James Dallas, Thomas Lew, John Talbot, Jonathan DeCastro, Somil Bansal, John Subosits ยท 2026

Safety filters provide a practical approach for enforcing safety constraints in autonomous systems. While learning-based tools scale to high-dimensional systems, their performance depends on informatiโ€ฆ

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Engineering Preprint PDF DOI

Path Integral Control in Gaussian Belief Space for Partially Observed Systems

Goutam Das, Takashi Tanaka ยท 2026

This paper extends path integral control (PIC) to partially observed systems by formulating the problem in Gaussian belief space. PIC relies on the diffusion being proportional to the control channel โ€ฆ

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Engineering Preprint PDF DOI

Robotic Nanoparticle Synthesis via Solution-based Processes

Dasharadhan Mahalingam, Michael Gallagher, Nilanjan Chakraborty, Stanislaus S. Wong ยท 2026

We present a screw geometry-based manipulation planning framework for the robotic automation of solution-based synthesis, exemplified through the preparation of gold and magnetite nanoparticles. The sโ€ฆ

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Engineering Preprint PDF DOI

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction

Shaqi Luo, Yuanyuan Li, Youhao Hu, Chenhao Yu, Chaoran Xu, Jiachen Zhang, Guocai Yao, Tiejun Huang, Ran He, Zhongyuan Wang ยท 2026

UMI-style interfaces enable scalable robot learning, but existing systems remain largely visuomotor, relying primarily on RGB observations and trajectory while providing only limited access to physicaโ€ฆ

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Engineering Preprint PDF DOI

Multimodal Anomaly Detection for Human-Robot Interaction

Guilherme Ribeiro, Iordanis Antypas, Leonardo Bizzaro, Joao Bimbo, Nuno Cruz Garcia ยท 2026

Ensuring safety and reliability in human-robot interaction (HRI) requires the timely detection of unexpected events that could lead to system failures or unsafe behaviours. Anomaly detection thus playโ€ฆ

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Engineering Preprint PDF DOI

Steering with Contingencies: Combinatorial Stabilization and Reach-Avoid Filters

Yana Lishkova, Pio Ong, Sander Tonkens, Sylvia Herbert, Aaron D. Ames ยท 2026

In applications such as autonomous landing and navigation, it is often desirable to steer toward a target while retaining the ability to divert to at least $r$ (out of $p$) alternative sites if conditโ€ฆ

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Engineering Preprint PDF DOI

Transformer-Enhanced Data-Driven Output Reachability with Conformal Coverage Guarantees

Zhen Zhang, Peng Xie, Wenyuan Wu, Yanliang Huang, Amr Alanwar ยท 2026

This paper considers output reachability analysis for linear time-invariant systems with unknown state-space matrices and unknown observation map, given only noisy input-output measurements. The Cayleโ€ฆ

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