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๐Ÿ” avoidance learning ๐Ÿ“‚ Engineering
Showing 39379 results for "avoidance learning" in Engineering
Engineering Preprint PDF DOI

Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations

Ruiqian Nai, Boyuan Zheng, Junming Zhao, Haodong Zhu, Sicong Dai, Zunhao Chen, Yihang Hu, Yingdong Hu, Tong Zhang, Chuan Wen, Yang Gao ยท 2026

Current approaches for humanoid whole-body manipulation, primarily relying on teleoperation or visual sim-to-real reinforcement learning, are hindered by hardware logistics and complex reward engineerโ€ฆ

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Engineering Preprint PDF DOI

Force Generative Imitation Learning: Bridging Position Trajectory and Force Commands through Control Technique

Hiroshi Sato, Sho Sakaino, Toshiaki Tsuji ยท 2026

In contact-rich tasks, while position trajectories are often easy to obtain, appropriate force commands are typically unknown. Although it is conceivable to generate force commands using a pretrained โ€ฆ

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Engineering Preprint PDF DOI

Structured Learning for Electromagnetic Field Modeling and Real-Time Inversion

Antonio Bernardes, Jasan Zughaibi, Michael Muehlebach, Bradley J. Nelson ยท 2026

Precise magnetic field modeling is fundamental to the closed-loop control of electromagnetic navigation systems (eMNS) and the analytical Multipole Expansion Model (MPEM) is the current standard. Howeโ€ฆ

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Engineering Preprint PDF DOI

A novel Integrated Motion Tracking Device (IMTD) for Objective Laparoscopic Training Assessment: Development and Validation

Siwar Bouzid (COBRA), Abdelbadia Chaker (COBRA), Marc Arsicault (COBRA), Sami Bennour, Med Amine Laribi (COBRA, PPrime) ยท 2026

This paper presents a novel, compact four-degree-of-freedom motion-tracking device (IMTD) designed for training and evaluation in laparoscopic surgery. The device's kinematics, mechanical design, instโ€ฆ

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Engineering Preprint PDF DOI

Beyond the Majority: Long-tail Imitation Learning for Robotic Manipulation

Junhong Zhu, Ji Zhang, Jingkuan Song, Lianli Gao, Heng Tao Shen ยท 2026

While generalist robot policies hold significant promise for learning diverse manipulation skills through imitation, their performance is often hindered by the long-tail distribution of training demonโ€ฆ

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Engineering Preprint PDF DOI

World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy

Xiaokang Liu, Zechen Bai, Hai Ci, Kevin Yuchen Ma, Mike Zheng Shou ยท 2026

Recent progress in robotic world models has leveraged video diffusion transformers to predict future observations conditioned on historical states and actions. While these models can simulate realistiโ€ฆ

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Engineering Preprint PDF DOI

MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Grasping

Stephany Ortuno-Chanelo, Paolo Rabino, Enrico Civitelli, Tatiana Tommasi, Raffaello Camoriano ยท 2026

Vision-based models for robotic grasping automate critical, repetitive, and draining industrial tasks. Existing approaches are typically limited in two ways: they either target a single gripper and arโ€ฆ

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Engineering Preprint PDF DOI

ECO: Energy-Constrained Optimization with Reinforcement Learning for Humanoid Walking

Weidong Huang, Jingwen Zhang, Jiongye Li, Shibowen Zhang, Jiayang Wu, Jiayi Wang, Hangxin Liu, Yaodong Yang, Yao Su ยท 2026

Achieving stable and energy-efficient locomotion is essential for humanoid robots to operate continuously in real-world applications. Existing MPC and RL approaches often rely on energy-related metricโ€ฆ

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Engineering Preprint PDF DOI

Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels

Wandong Sun, Yongbo Su, Leoric Huang, Alex Zhang, Dwyane Wei, Mu San, Daniel Tian, Ellie Cao, Finn Yan, Ethan Xie, Zongwu Xie ยท 2026

Achieving robust vision-based humanoid locomotion remains challenging due to two fundamental issues: the sim-to-real gap introduces significant perception noise that degrades performance on fine-grainโ€ฆ

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Engineering Preprint PDF DOI

Towards Adaptive Environment Generation for Training Embodied Agents

Teresa Yeo, Dulaj Weerakoon, Dulanga Weerakoon, Archan Misra ยท 2026

Embodied agents struggle to generalize to new environments, even when those environments share similar underlying structures to their training settings. Most current approaches to generating these traโ€ฆ

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Engineering Preprint PDF DOI

Nipping the Drift in the Bud: Retrospective Rectification for Robust Vision-Language Navigation

Gang He, Zhenyang Liu, Kepeng Xu, Li Xu, Tong Qiao, Wenxin Yu, Chang Wu, Weiying Xie ยท 2026

Vision-Language Navigation (VLN) requires embodied agents to interpret natural language instructions and navigate through complex continuous 3D environments. However, the dominant imitation learning pโ€ฆ

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Engineering Preprint PDF DOI

AS-Mamba: Asymmetric Self-Guided Mamba Decoupled Iterative Network for Metal Artifact Reduction

Bowen Ning, Zekun Zhou, Xinyi Zhong, Zhongzhen Wang, HongXin Wu, HaiTao Wang, Liu Shi, Qiegen Liu ยท 2026

Metal artifact significantly degrades Computed Tomography (CT) image quality, impeding accurate clinical diagnosis. However, existing deep learning approaches, such as CNN and Transformer, often fail โ€ฆ

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Engineering Preprint PDF DOI

HiWET: Hierarchical World-Frame End-Effector Tracking for Long-Horizon Humanoid Loco-Manipulation

Zhanxiang Cao, Liyun Yan, Yang Zhang, Sirui Chen, Jianming Ma, Tianyue Zhan, Shengcheng Fu, Yufei Jia, Cewu Lu, Yue Gao ยท 2026

Humanoid loco-manipulation requires executing precise manipulation tasks while maintaining dynamic stability amid base motion and impacts. Existing approaches typically formulate commands in body-centโ€ฆ

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Engineering Preprint PDF DOI

B-GRPO: Unsupervised Speech Emotion Recognition based on Batched-Group Relative Policy Optimization

Yingying Gao, Shilei Zhang, Runyan Yang, Zihao Cui, Junlan Feng ยท 2026

Unsupervised speech emotion recognition (SER) focuses on addressing the problem of data sparsity and annotation bias of emotional speech. Reinforcement learning (RL) is a promising method which enhancโ€ฆ

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Engineering Preprint PDF DOI

A hard-constrained NN learning framework for rapidly restoring AC-OPF from DC-OPF

Kejun Chen, Bernard Knueven, Wesley Jones ยท 2026

This paper proposes a hard-constrained unsupervised learning framework for rapidly solving the non-linear and non-convex AC optimal power flow (AC-OPF) problem in real-time operation. Without requirinโ€ฆ

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Engineering Preprint PDF DOI

A Dialogue-Based Human-Robot Interaction Protocol for Wheelchair and Robotic Arm Integrated Control

Guangping Liu, Nicholas Hawkins, Billy Madden, Tipu Sultan, Madi Babaiasl ยท 2026

People with lower and upper body disabilities can benefit from wheelchairs and robotic arms to improve mobility and independence. Prior assistive interfaces, such as touchscreens and voice-driven predโ€ฆ

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Engineering Preprint PDF DOI

Coupled Local and Global World Models for Efficient First Order RL

Joseph Amigo, Rooholla Khorrambakht, Nicolas Mansard, Ludovic Righetti ยท 2026

World models offer a promising avenue for more faithfully capturing complex dynamics, including contacts and non-rigidity, as well as complex sensory information, such as visual perception, in situatiโ€ฆ

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STACodec: Semantic Token Assignment for Balancing Acoustic Fidelity and Semantic Information in Audio Codecs

Kaiyuan Zhang, Mohan Shi, Eray Eren, Natarajan Balaji Shankar, Zilai Wang, Abeer Alwan ยท 2026

Neural audio codecs are widely used for audio compression and can be integrated into token-based language models. Traditional codecs preserve acoustic details well but lack semantic information. Recenโ€ฆ

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Residual Reinforcement Learning for Waste-Container Lifting Using Large-Scale Cranes with Underactuated Tools

Qi Li, Karsten Berns ยท 2026

This paper studies the container lifting phase of a waste-container recycling task in urban environments, performed by a hydraulic loader crane equipped with an underactuated discharge unit, and propoโ€ฆ

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Engineering Preprint PDF DOI

A Hybrid Autoencoder for Robust Heightmap Generation from Fused Lidar and Depth Data for Humanoid Robot Locomotion

Dennis Bank, Joost Cordes, Thomas Seel, Simon F.G. Ehlers ยท 2026

Reliable terrain perception is a critical prerequisite for the deployment of humanoid robots in unstructured, human-centric environments. While traditional systems often rely on manually engineered, sโ€ฆ

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