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๐Ÿ” alex kogan ๐Ÿ“‚ Engineering
Showing 124 results for "alex kogan" in Engineering
Engineering Preprint PDF DOI

CONCERTO : Optimization of readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), Olivier Bourrion (LPSC), Christophe Hoarau (LPSC), Christophe Vescovi (LPSC) ยท 2026

The CONCERTO millimeter-wave spectral-imaging instrument was deployed on the Atacama Pathfinder EXperiment (APEX), where it acquired science data between April 2021 and May 2023. The instrument featurโ€ฆ

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Engineering Preprint PDF DOI

CONCERTO: Characterization of analog readout electronics

Mounir Abdkrimi (NEEL - MagSup), Olivier Rossetto (LPSC), O. Bourrion (LPSC), Christophe Vescovi (LPSC), C. Hoarau (LPSC) ยท 2026

CONCERTO is a millimeter-wave imaging instrument that operated on the Atacama Pathfinder Experiment (APEX) telescope from April 2021 to May 2023. Its primary scientific objectives include the study ofโ€ฆ

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Engineering Preprint PDF DOI

Development of ML model for triboelectric nanogenerator based sign language detection system

Meshv Patel, Bikash Baro, Sayan Bayan, Mohendra Roy ยท 2026

Sign language recognition (SLR) is vital for bridging communication gaps between deaf and hearing communities. Vision-based approaches suffer from occlusion, computational costs, and physical constraiโ€ฆ

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Engineering Preprint PDF DOI

RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning

Seungku Kim, Suhyeok Jang, Byungjun Yoon, Dongyoung Kim, John Won, Jinwoo Shin ยท 2026

Synthetic data generated by video generative models has shown promise for robot learning as a scalable pipeline, but it often suffers from inconsistent action quality due to imperfectly generated videโ€ฆ

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Engineering Preprint PDF DOI

APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots

Yikai Wang, Tingxuan Leng, Changyi Lin, Shiqi Liu, Shir Simon, Bingqing Chen, Jonathan Francis, Ding Zhao ยท 2026

Humanoid locomotion has advanced rapidly with deep reinforcement learning (DRL), enabling robust feet-based traversal over uneven terrain. Yet platforms beyond leg length remain largely out of reach bโ€ฆ

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Engineering Preprint PDF DOI

VR-VFL: Joint Rate and Client Selection for Vehicular Federated Learning Under Imperfect CSI

Metehan Karatas, Subhrakanti Dey, Christian Rohner, Jose Mairton Barros da Silva Jr ยท 2026

Federated learning in vehicular edge networks faces major challenges in efficient resource allocation, largely due to high vehicle mobility and the presence of imperfect channel state information. Manโ€ฆ

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Engineering Preprint PDF DOI

APEX: A Decoupled Memory-based Explorer for Asynchronous Aerial Object Goal Navigation

Daoxuan Zhang, Ping Chen, Xiaobo Xia, Xiu Su, Ruichen Zhen, Jianqiang Xiao, Shuo Yang ยท 2026

Aerial Object Goal Navigation, a challenging frontier in Embodied AI, requires an Unmanned Aerial Vehicle (UAV) agent to autonomously explore, reason, and identify a specific target using only visual โ€ฆ

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Engineering Preprint PDF DOI

CoFreeVLA: Collision-Free Dual-Arm Manipulation via Vision-Language-Action Model and Risk Estimation

Xuanran Zhai, Binkai Ou, Qiaojun Yu, Ce Hao, Yaohua Liu ยท 2026

Vision Language Action (VLA) models enable instruction following manipulation, yet dualarm deployment remains unsafe due to under modeled selfcollisions between arms and grasped objects. We introduce โ€ฆ

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Engineering Preprint PDF DOI

Adaptive Optimal Control for Avatar-Guided Motor Rehabilitation in Virtual Reality

Francesco De Lellis, Maria Lombardi, Egidio De Benedetto, Pasquale Arpaia, Mario di Bernardo ยท 2025

A control-theoretic framework for autonomous avatar-guided rehabilitation in virtual reality, based on interpretable, adaptive motor guidance through optimal control, is presented. The framework facesโ€ฆ

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Engineering Preprint PDF DOI

A Flexible Funnel-Shaped Robotic Hand with an Integrated Single-Sheet Valve for Milligram-Scale Powder Handling

Tomoya Takahashi, Yusaku Nakajima, Cristian Camilo Beltran-Hernandez, Yuki Kuroda, Kazutoshi Tanaka, Masashi Hamaya, Kanta Ono, Yoshitaka Ushiku ยท 2025

Laboratory Automation (LA) has the potential to accelerate solid-state materials discovery by enabling continuous robotic operation without human intervention. While robotic systems have been developeโ€ฆ

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Engineering Preprint PDF DOI

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots

Shivam Sood, Laukik Nakhwa, Sun Ge, Yuhong Cao, Jin Cheng, Fatemah Zargarbashi, Taerim Yoon, Sungjoon Choi, Stelian Coros, Guillaume Sartoretti ยท 2025

Learning natural, animal-like locomotion from demonstrations has become a core paradigm in legged robotics. Despite the recent advancements in motion tracking, most existing methods demand extensive tโ€ฆ

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Engineering Preprint PDF DOI

Clinic-Oriented Feasibility of a Sensor-Fused Wearable for Upper-Limb Function

Thanyanee Srichaisak, Arissa Ieochai, Aueaphum Aueawattthanaphisut ยท 2025

Background: Upper-limb weakness and tremor (4--12 Hz) limit activities of daily living (ADL) and reduce adherence to home rehabilitation. Objective: To assess technical feasibility and clinician-relevโ€ฆ

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Engineering Preprint PDF DOI

An Agnostic End-Effector Alignment Controller for Robust Assembly of Modular Space Robots

Shamistan Karimov, Elian Neppel, Shreya Santra, Kentaro Uno, Kazuya Yoshida ยท 2025

Modular robots offer reconfigurability and fault tolerance essential for lunar missions, but require controllers that adapt safely to real-world disturbances. We build on our previous hardware-agnostiโ€ฆ

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Engineering Preprint PDF DOI

LLM-HBT: Dynamic Behavior Tree Construction for Adaptive Coordination in Heterogeneous Robots

Chaoran Wang, Jingyuan Sun, Yanhui Zhang, Mingyu Zhang, Changju Wu ยท 2025

We introduce a novel framework for automatic behavior tree (BT) construction in heterogeneous multi-robot systems, designed to address the challenges of adaptability and robustness in dynamic environmโ€ฆ

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Engineering Preprint PDF DOI

A Bimanual Gesture Interface for ROS-Based Mobile Manipulators Using TinyML and Sensor Fusion

Najeeb Ahmed Bhuiyan, M. Nasimul Huq, Sakib H. Chowdhury, Rahul Mangharam ยท 2025

Gesture-based control for mobile manipulators faces persistent challenges in reliability, efficiency, and intuitiveness. This paper presents a dual-hand gesture interface that integrates TinyML, spectโ€ฆ

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Engineering Preprint PDF DOI

Localization using Angle-of-Arrival Triangulation

Amod K. Agrawal ยท 2025

Indoor localization is a long-standing challenge in mobile computing, with significant implications for enabling location-aware and intelligent applications within smart environments such as homes, ofโ€ฆ

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Engineering Preprint PDF DOI

Tunable Leg Stiffness in a Monopedal Hopper for Energy-Efficient Vertical Hopping Across Varying Ground Profiles

Rongqian Chen, Jun Kwon, Kefan Wu, Wei-Hsi Chen ยท 2025

We present the design and implementation of HASTA (Hopper with Adjustable Stiffness for Terrain Adaptation), a vertical hopping robot with real-time tunable leg stiffness, aimed at optimizing energy eโ€ฆ

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Engineering Preprint PDF DOI

Hybrid SIS Dynamics for Demand Modeling of Frequently Updated Products

Ian Walter, Jitesh H. Panchal, Philip E. Pare ยท 2025

We propose a hybrid spreading process model to capture the dynamics of demand for software-based products. We introduce discontinuous jumps in the state to model sudden surges in demand that can be seโ€ฆ

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Engineering Preprint PDF DOI

APEX: Empowering LLMs with Physics-Based Task Planning for Real-time Insight

Wanjing Huang, Weixiang Yan, Zhen Zhang, Ambuj Singh ยท 2025

Large Language Models (LLMs) demonstrate strong reasoning and task planning capabilities but remain fundamentally limited in physical interaction modeling. Existing approaches integrate perception viaโ€ฆ

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Engineering Preprint PDF DOI

APEX: Action Priors Enable Efficient Exploration for Robust Motion Tracking on Legged Robots

Shivam Sood, Laukik Nakhwa, Sun Ge, Yuhong Cao, Jin Cheng, Fatemah Zargarbashi, Taerim Yoon, Sungjoon Choi, Stelian Coros, Guillaume Sartoretti ยท 2025

Learning natural, animal-like locomotion from demonstrations has become a core paradigm in legged robotics. Despite the recent advancements in motion tracking, most existing methods demand extensive tโ€ฆ

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