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

Omnidirectional Humanoid Locomotion on Stairs via Unsafe Stepping Penalty and Sparse LiDAR Elevation Mapping

Yuzhi Jiang, Yujun Liang, Junhao Li, Han Ding, Lijun Zhu ยท 2026

Humanoid robots, characterized by numerous degrees of freedom and a high center of gravity, are inherently unstable. Safe omnidirectional locomotion on stairs requires both omnidirectional terrain perโ€ฆ

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Engineering Preprint PDF DOI

Relating Reinforcement Learning to Dynamic Programming-Based Planning

Filip V. Georgiev, Kalle G. Timperi, Basak Sakcak, Steven M. LaValle ยท 2026

This paper bridges some of the gap between optimal planning and reinforcement learning (RL), both of which share roots in dynamic programming applied to sequential decision making or optimal control. โ€ฆ

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Engineering Preprint PDF DOI

Physics-infused Learning for Aerial Manipulator in Winds and Near-Wall Environments

Yiming Zhang, Junyi Geng ยท 2026

Aerial manipulation (AM) expands UAV capabilities beyond passive observation to contact-based operations at high altitudes and in otherwise inaccessible environments. Although recent advances show proโ€ฆ

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Engineering Preprint PDF DOI

Preference-Conditioned Reinforcement Learning for Space-Time Efficient Online 3D Bin Packing

Nikita Sarawgi, Omey M. Manyar, Fan Wang, Thinh H. Nguyen, Daniel Seita, Satyandra K. Gupta ยท 2026

Robotic bin packing is widely deployed in warehouse automation, with current systems achieving robust performance through heuristic and learning-based strategies. These systems must balance compact plโ€ฆ

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Engineering Preprint PDF DOI

Toward Global Intent Inference for Human Motion by Inverse Reinforcement Learning

Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet, Ludovic Righetti ยท 2026

This paper investigates whether a single, unified cost function can explain and predict human reaching movements, in contrast with existing approaches that rely on subject- or posture-specific optimizโ€ฆ

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Engineering Preprint PDF DOI

Inverse Resistive Force Theory (I-RFT): Learning granular properties through robot-terrain physical interactions

Shipeng Liu, Feng Xue, Yifeng Zhang, Tarunika Ponnusamy, Feifei Qian ยท 2026

For robots to navigate safely and efficiently on soft, granular terrains, it is crucial to gather information about the terrain's mechanical properties, which directly affect locomotion performance. Rโ€ฆ

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Engineering Preprint PDF DOI

Residual Control for Fast Recovery from Dynamics Shifts

Nethmi Jayasinghe, Diana Gontero, Francesco Migliarba, Spencer T. Brown, Vinod K. Sangwan, Mark C. Hersam, Amit Ranjan Trivedi ยท 2026

Robotic systems operating in real-world environments inevitably encounter unobserved dynamics shifts during continuous execution, including changes in actuation, mass distribution, or contact conditioโ€ฆ

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Engineering Preprint PDF DOI

Multi-View Based Audio Visual Target Speaker Extraction

Peijun Yang, Zhan Jin, Juan Liu, Ming Li ยท 2026

Audio-Visual Target Speaker Extraction (AVTSE) aims to separate a target speaker's voice from a mixed audio signal using the corresponding visual cues. While most existing AVTSE methods rely exclusiveโ€ฆ

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Engineering Preprint PDF DOI

RoboPCA: Pose-centered Affordance Learning from Human Demonstrations for Robot Manipulation

Zhanqi Xiao, Ruiping Wang, Xilin Chen ยท 2026

Understanding spatial affordances -- comprising the contact regions of object interaction and the corresponding contact poses -- is essential for robots to effectively manipulate objects and accomplisโ€ฆ

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Engineering Preprint PDF DOI

DAISS: Phase-Aware Imitation Learning for Dual-Arm Robotic Ultrasound-Guided Interventions

Feng Li, Pei Liu, Shiting Wang, Ning Wang, Zhongliang Jiang, Nassir Navab, Yuan Bi ยท 2026

Imitation learning has shown strong potential for automating complex robotic manipulation. In medical robotics, ultrasound-guided needle insertion demands precise bimanual coordination, as clinicians โ€ฆ

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Engineering Preprint PDF DOI

AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots

Likui Zhang, Tao Tang, Zhihao Zhan, Xiuwei Chen, Zisheng Chen, Jianhua Han, Jiangtong Zhu, Pei Xu, Hang Xu, Hefeng Wu, Liang Lin, Xiaodan Liang ยท 2026

Recent advances in Visual-Language-Action (VLA) models have shown promising potential for robotic manipulation tasks. However, real-world robotic tasks often involve long-horizon, multi-step problem-sโ€ฆ

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Engineering Preprint PDF DOI

TempoFit: Plug-and-Play Layer-Wise Temporal KV Memory for Long-Horizon Vision-Language-Action Manipulation

Jun Sun, Boyu Yang, Jiahao Zhang, Ning Ma, Chencheng Wu, Siqing Zhang, Yiou Huang, Qiufeng Wang, Shan Liang, Yaran Chen ยท 2026

Pretrained Vision-Language-Action (VLA) policies have achieved strong single-step manipulation, but their inference remains largely memoryless, which is brittle in non-Markovian long-horizon settings โ€ฆ

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Engineering Preprint PDF DOI

PanoDP: Learning Collision-Free Navigation with Panoramic Depth and Differentiable Physics

Hao Zhong, Pei Chi, Jiang Zhao, Shenghai Yuan, Xuyang Gao, Thien-Minh Nguyen, Lihua Xie ยท 2026

Autonomous collision-free navigation in cluttered environments requires safe decision-making under partial observability with both static structure and dynamic obstacles. We present \textbf{PanoDP}, aโ€ฆ

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Engineering Preprint PDF DOI

Exoskeleton Control through Learning to Reduce Biological Joint Moments in Simulations

Zihang You, Xianlian Zhou ยท 2026

Data-driven joint-moment predictors offer a scalable alternative to laboratory-based inverse-dynamics pipelines for biomechanics estimation and exoskeleton control. Meanwhile, physics-based reinforcemโ€ฆ

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Engineering Preprint PDF DOI

GeoLoco: Leveraging 3D Geometric Priors from Visual Foundation Model for Robust RGB-Only Humanoid Locomotion

Yufei Liu, Xieyuanli Chen, Hainan Pan, Chenghao Shi, Yanjie Chen, Kaihong Huang, Zhiwen Zeng, Huimin Lu ยท 2026

The prevailing paradigm of perceptive humanoid locomotion relies heavily on active depth sensors. However, this depth-centric approach fundamentally discards the rich semantic and dense appearance cueโ€ฆ

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Engineering Preprint PDF DOI

SMAT: Staged Multi-Agent Training for Co-Adaptive Exoskeleton Control

Yifei Yuan, Ghaith Androwis, Xianlian Zhou ยท 2026

Effective exoskeleton assistance requires co-adaptation: as the device alters joint dynamics, the user reorganizes neuromuscular coordination, creating a non-stationary learning problem. Most learningโ€ฆ

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Engineering Preprint PDF DOI

Emergency Lane-Change Simulation: A Behavioral Guidance Approach for Risky Scenario Generation

Chen Xiong, Cheng Wang, Yuhang Liu, Zirui Wu, Ye Tian ยท 2026

In contemporary autonomous driving testing, virtual simulation has become an important approach due to its efficiency and cost effectiveness. However, existing methods usually rely on reinforcement leโ€ฆ

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Engineering Preprint PDF DOI

MetaSort: An Accelerated Approach for Non-uniform Compression and Few-shot Classification of Neural Spike Waveforms

Luca M. Meyer, Majid Zamani ยท 2026

Many previous works in spike sorting study spike classification and compression independently. In this paper, a novel algorithm is proposed called MetaSort to address these two problems. To deal with โ€ฆ

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Engineering Preprint PDF DOI

VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries

Yuchen Qi, Ye Guo, Yinliang Xu ยท 2026

The increasing penetration of renewable energy necessitates unlocking demand-side flexibility. While air conditioning (AC) systems offer significant thermal inertia, existing physical and data-driven โ€ฆ

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Engineering Preprint PDF DOI

Approximate Imitation Learning for Event-based Quadrotor Flight in Cluttered Environments

Nico Messikommer, Jiaxu Xing, Leonard Bauersfeld, Marco Cannici, Elie Aljalbout, Davide Scaramuzza ยท 2026

Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-speed robotic applications where conventional cameras suffer from image degradations such as motion bluโ€ฆ

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