Results 71 to 80 of about 79,263 (305)

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley   +1 more source

Multimodal Human–Robot Interaction Using Human Pose Estimation and Local Large Language Models

Advanced Robotics Research, EarlyView.
A multimodal human–robot interaction framework integrates human pose estimation (HPE) and a large language model (LLM) for gesture‐ and voice‐based robot control. Speech‐to‐text (STT) enables voice command interpretation, while a safety‐aware arbitration mechanism prioritizes gesture input for rapid intervention.
Nasiru Aboki, Ilche Georgievski, Marco Aiello   +2 more
wiley   +1 more source

Canny edge detection on NVIDIA CUDA [PDF]

2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
The Canny edge detector is a very popular and effective edge feature detector that is used as a pre-processing step in many computer vision algorithms. It is a multi-step detector which performs smoothing and filtering, non-maxima suppression, followed by a connected-component analysis stage to detect ldquotruerdquo edges, while suppressing ...
Yuancheng Luo, Ramani Duraiswami
openaire   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

Advanced Robotics Research, EarlyView.
This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley   +1 more source

Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling

Advanced Robotics Research, EarlyView.
A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang, Ganesh Arivoli, Huzaifa Unjhawala, Luning Bakke, Radu Serban, Dan Negrut   +5 more
wiley   +1 more source

Parameters of performance: A deep dive into liquid-to-air CDU assessment

Case Studies in Thermal Engineering
The rapid growth in data center workloads and the increasing complexity of modern applications have led to significant contradictions between computational performance and thermal management.
Ali Heydari, Ahmad R. Gharaibeh, Mohammad Tradat, Qusai Soud, Yaman Manaserh, Vahideh Radmard, Bahareh Eslami, Jeremy Rodriguez, Bahgat Sammakia   +8 more
doaj   +1 more source

MicroRoboScope: A Portable and Integrated Mechatronic Platform for Magnetic and Acoustic Microrobotic Experimentation

Advanced Robotics Research, EarlyView.
This work presents the MicroRoboScope, a highly integrated, compact, and portable microrobotic experimentation platform combining electromagnetic and acoustic actuation with real‐time visual feedback into a single, end‐to‐end device. The system enables closed‐loop control and tracking algorithm experimentation within an accessible and unified hardware ...
Max Sokolich, Yanda Yang, Subrahmanyam Cherukumilli, Fatma Ceren Kirmizitas, Sambeeta Das   +4 more
wiley   +1 more source

PRO-GO: Reference-Guided Protein Sequence Generation Using Gene Ontology Terms

IEEE Access
Protein sequence generation models aim to produce valid protein candidates on demand, however, controllably generating protein sequences with specified target functionalities remains difficult.
Darren Tan, Ian McLoughlin, Aik Beng Ng, Zhengkui Wang, Abraham C. Stern, Simon See   +5 more
doaj   +1 more source

Task‐Oriented Path Planning Towards Autonomous Sensor Network Deployment in Rainforest Canopies

Advanced Robotics Research, EarlyView.
An informative path planner for drone‐based deployment of wireless sensor networks in rainforest canopies is presented, addressing key challenges in large‐scale biodiversity monitoring. By integrating canopy surface detection with connectivity‐aware sampling under strict flight constraints, the approach enables efficient and reliable aerial sensor ...
Rita Santos Raminhos, Salua Hamaza
wiley   +1 more source

Realtime signal processing on NVIDIA TX2 using CUDA

, 2018
In our presentation, we will focus on low latency real-time signal processing on NVIDIA Jetson TX2. Originally designed for image processing, the Jetson TX2 incorporates a vast amount of embedded GPU processing power. However, it has not been widely used
Weiss, Armin, Rosenthal, Matthias, Mazloumian, Amin   +2 more
core   +2 more sources