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๐Ÿ” sanja singer ๐Ÿ“‚ Engineering
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Engineering Preprint PDF DOI

Function-based Parametric Co-Design Optimization of Dexterous Hands

Mohammad Amin Mirzaee, Harsh Gupta, Wenzhen Yuan ยท 2026

Despite advances in dexterous hand manipulation, robotic hand design is still largely decoupled from task-driven evaluation and control, limiting systematic optimization. Existing robotic hand co-desiโ€ฆ

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Engineering Preprint PDF DOI

KinDER: A Physical Reasoning Benchmark for Robot Learning and Planning

Yixuan Huang, Bowen Li, Vaibhav Saxena, Yichao Liang, Utkarsh Aashu Mishra, Liang Ji, Lihan Zha, Jimmy Wu, Nishanth Kumar, Sebastian Scherer, Danfei Xu, Tom Silver ยท 2026

Robotic systems that interact with the physical world must reason about kinematic and dynamic constraints imposed by their own embodiment, their environment, and the task at hand. We introduce KinDER,โ€ฆ

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Engineering Preprint PDF DOI

HANDFUL: Sequential Grasp-Conditioned Dexterous Manipulation with Resource Awareness

Ethan Foong, Yunshuang Li, Hao Jiang, Gaurav S. Sukhatme, Daniel Seita ยท 2026

Dexterous robot hands offer rich opportunities for multifunctional manipulation, where a robot must execute multiple skills in sequence while maintaining control over previously grasped objects. Most โ€ฆ

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Engineering Preprint PDF DOI

A Kinematic Analysis of Palm Degrees of Freedom for Enhancing Thumb Opposability in Robotic Hands

HyoJae Kang, Yeong Jae Park, Hyunmok Jung, Joonho Lee, Dong Il Park ยท 2026

This study investigates the kinematic role of palm degrees of freedom (DoF) in enhancing thumb opposability in a five-finger robotic hand. A hand model consisting of a five DoF thumb and four fingers โ€ฆ

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Engineering Preprint PDF DOI

FingerViP: Learning Real-World Dexterous Manipulation with Fingertip Visual Perception

Zhen Zhang, Weinan Wang, Hejia Sun, Qingpeng Ding, Xiangyu Chu, Guoxin Fang, K. W. Samuel Au ยท 2026

The current practice of dexterous manipulation generally relies on a single wrist-mounted view, which is often occluded and limits performance on tasks requiring multi-view perception. In this work, wโ€ฆ

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Engineering Preprint PDF DOI

Kinematic Optimization of Phalanx Length Ratios in Robotic Hands Using Potential Dexterity

HyoJae Kang, Joonho Lee, Jeongdo Ahn, Dong Il Park ยท 2026

In the design stage of robotic hands, it is not straightforward to quantitatively evaluate the effect of phalanx length ratios on dexterity without defining specific objects or manipulation tasks. Theโ€ฆ

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Engineering Preprint PDF DOI

Strain in Sound: Soft Corrugated Tube for Local Strain Sensing with Acoustic Resonance

Michael Chun, Ananya Nukala, Tae Myung Huh ยท 2026

We present a soft corrugated tube sensor designed to estimate strain in each half segment. When air flows through the tube, the internal corrugated cavities induce pressure oscillations that excite thโ€ฆ

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Engineering Preprint PDF DOI

MM-Hand: A 21-DOF Multi-modal Modular Dexterous Robotic Hand with Remote Actuation

Zhuoheng Li, Qingquan Lin, Checheng Yu, Qiangyu Chen, Zhiqian Lan, Lutong Zhang, Hongyang Li, Ping Luo ยท 2026

High-DOF dexterous hands require compact actuation, rich sensing, and reliable thermal behavior, but conventional designs often occupy valuable in-hand space, increase end-effector mass, and suffer frโ€ฆ

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Engineering Preprint PDF DOI

Bilinear controllability for the linear KdV-Schr{\"o}dinger equation

Remi Buffe (IECL, SPHINX), Alessandro Duca (SPHINX, IECL), Hugo Parada (SPHINX, IECL) ยท 2026

We study the controllability of a linear KdV-Schr{\"o}dinger equation on the one-dimensional torus via purely imaginary bilinear controls. Considering controls spanning a suitable finite number of Fouโ€ฆ

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Engineering Preprint PDF DOI

WM-DAgger: Enabling Efficient Data Aggregation for Imitation Learning with World Models

Anlan Yu, Zaishu Chen, Peili Song, Zhiqing Hong, Haotian Wang, Desheng Zhang, Tian He, Yi Ding, Daqing Zhang ยท 2026

Imitation learning is a powerful paradigm for training robotic policies, yet its performance is limited by compounding errors: minor policy inaccuracies could drive robots into unseen out-of-distributโ€ฆ

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Engineering Preprint PDF DOI

GraspSense: Physically Grounded Grasp and Grip Planning for a Dexterous Robotic Hand via Language-Guided Perception and Force Maps

Elizaveta Semenyakina, Ivan Snegirev, Mariya Lezina, Miguel Altamirano Cabrera, Safina Gulyamova, Dzmitry Tsetserukou ยท 2026

Dexterous robotic manipulation requires more than geometrically valid grasps: it demands physically grounded contact strategies that account for the spatially non-uniform mechanical properties of the โ€ฆ

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Engineering Preprint PDF DOI

Learning Dexterous Grasping from Sparse Taxonomy Guidance

Juhan Park, Taerim Yoon, Seungmin Kim, Joonggil Kim, Wontae Ye, Jeongeun Park, Yoonbyung Chai, Geonwoo Cho, Geunwoo Cho, Dohyeong Kim, Kyungjae Lee, Yongjae Kim, Sungjoon Choi ยท 2026

Dexterous manipulation requires planning a grasp configuration suited to the object and task, which is then executed through coordinated multi-finger control. However, specifying grasp plans with densโ€ฆ

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Engineering Preprint PDF DOI

Schrodinger Bridges and Density Steering Problems for Gaussian Mixtures Models in Discrete-Time

George Rapakoulias, Fengjiao Liu, Panagiotis Tsiotras ยท 2026

In this work, we revisit the discrete-time Schr\"{o}dinger Bridge (SB) and Density Steering (DS) problems for Gaussian mixture model (GMM) boundary distributions. Building on the existing literature, โ€ฆ

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Engineering Preprint PDF DOI

A Dual-Action Fabric-Based Soft Robotic Glove for Ergonomic Hand Rehabilitation

Rui Chen, Firman Isma Serdana, Domenico Chiaradia, Xianlong Mai, Elena Losanno, Gabriele Righi, Claudia De Santis, Federica Serra, Vincent Mendez, Cristian Camardella, Daniele Leonardis, Giulio Del Popolo, Silvestro Micera, Antonio Frisoli ยท 2026

Hand impairment following neurological disorders substantially limits independence in activities of daily living, motivating the development of effective assistive and rehabilitation strategies. Soft โ€ฆ

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Engineering Preprint PDF DOI

ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models

Zhenglin Lai, Sirui Huang, Yuteng Li, Changxin Huang, Jianqiang Li, Bingzhe Wu ยท 2026

Video-generative world models are increasingly used as neural simulators for embodied planning and policy learning, yet their ability to predict physical risk and severe consequences is rarely evaluatโ€ฆ

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Engineering Preprint PDF DOI

An Information-Theoretic Method for Dynamic System Identification With Output-Only Damping Estimation

Marios Impraimakis, Feiyu Zhou, Andrew Plummer ยท 2026

The system identification capabilities of a novel information-theoretic method are examined here. Specifically, this work uses information-theoretic metrics and vibration-based measurements to enhanceโ€ฆ

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Engineering Preprint PDF DOI

Feel Robot Feels: Tactile Feedback Array Glove for Dexterous Manipulation

Feiyu Jia, Xiaojie Niu, Sizhe Yang, Qingwei Ben, Tao Huang, Feng zhao, Jingbo Wang, Jiangmiao Pang ยท 2026

Teleoperation is a key approach for collecting high-quality, physically consistent demonstrations for robotic manipulation. However, teleoperation for dexterous manipulation remains constrained by: (iโ€ฆ

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Engineering Preprint PDF DOI

Active Stereo-Camera Outperforms Multi-Sensor Setup in ACT Imitation Learning for Humanoid Manipulation

Robin Kuhn, Moritz Schappler, Thomas Seel, Dennis Bank ยท 2026

The complexity of teaching humanoid robots new tasks is one of the major reasons hindering their widespread adoption in the industry. While Imitation Learning (IL), particularly Action Chunking with Tโ€ฆ

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Engineering Preprint PDF DOI

Probe-to-Grasp Manipulation Using Self-Sensing Pneumatic Variable-Stiffness Joints

Ngoc Duy Tran, Yeman Fan, Feng Dai, Khang Nguyen, Anh Nguyen, Hoang Hiep Ly, Tung D. Ta, Shigeru Chiba ยท 2026

Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an optimal grasp pose thaโ€ฆ

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Engineering Preprint PDF DOI

Copilot-Assisted Second-Thought Framework for Brain-to-Robot Hand Motion Decoding

Yizhe Li, Shixiao Wang, Jian K. Liu ยท 2026

Motor kinematics prediction (MKP) from electroencephalography (EEG) is an important research area for developing movement-related brain-computer interfaces (BCIs). While traditional methods often relyโ€ฆ

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