Results 161 to 170 of about 71,554 (285)

Policy-Guided Model Predictive Path Integral for Safe Manipulator Trajectory Planning. [PDF]

Sensors (Basel)
Liang L, Wu C, Wang X.
europepmc   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

Path Planning for USVs in Complex Marine Environments Based on an Improved Hybrid TD3 Algorithm. [PDF]

Sensors (Basel)
Zhang Z, Wang X, Wang Q, Zhu M, Feng M.
europepmc   +1 more source

Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot

Advanced Intelligent Systems, EarlyView.
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley   +1 more source

Optimized real-time path planning for micro UAVs in dynamic environments aided by reciprocal velocity obstacle algorithm. [PDF]

PLoS One
Sun P, Sun W, Ding W, Li Y, Zhao J.
europepmc   +1 more source

High‐Speed Altitude Regulation With Neuromorphic Camera and Lightweight Embedded Computation

Advanced Intelligent Systems, EarlyView.
Neuromorphic cameras deliver rapid, high‐dynamic‐range sensing but overwhelm embedded processors at high speeds. This work presents a lightweight, optimized Lucas–Kanade optical flow method with parallelization, gyroscopic derotation, and adaptive event slicing.
Simon L. Jeger, Alessandro Marchei, Charbel Toumieh, Dario Floreano   +3 more
wiley   +1 more source

BGSE-RRT*: A Goal-Guided and Multi-Sector Sampling-Expansion Path Planning Algorithm for Complex Environments. [PDF]

Sensors (Basel)
Yue W, Li X, Liu Z, Jiang X, Pan L.
europepmc   +1 more source

Dynamic Occupancy Grid based Collision Avoidance in Robotics

As robots and autonomous vehicles are being deployed in multiple new challenging applications, they have to navigate in various complex and unstructured real-world environments (e.g. urban traffic, human-shared spaces). In order to model the environment of a robot for its local planning, object-based representations are the most commonly used because ...
openaire   +1 more source

Formation Control of Aircraft Dynamics-Collision Avoidance Controller

Formation Control of Aircraft Dynamics-Collision Avoidance Controller
identifier:oai:t2r2.star.titech.ac.jp ...
openaire  

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source