Latest Articles for Robotics

This study explores how machines connect actions to their outcomes through video analysis.

Discover how neural networks improve the efficiency of model predictive control.

A look at vulnerabilities in LoRa due to jamming attacks and possible solutions.

Researchers propose new methods for managing unpredictable systems using data-driven techniques.

Exploring methods to study overlapping curves in geometry and algebra.

A novel method for training RL agents using hidden triggers in complex environments.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Research highlights deep learning's role in soft robot navigation.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

Improving robot learning through a method focused on object movement.

A new method using foot pressure to assess body posture and joint angles.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

A new system allows humans and robots to work together in sanding jobs.

A workshop highlights key challenges and solutions in robotics software engineering.

This work discusses natural strategies and probabilistic logics for multi-agent systems.

This study examines how shoulder stability affects arm strength and movement.

Introducing a method that improves robot learning for pick and place tasks.

A new framework enhances object segmentation based on natural language descriptions.

This paper discusses how AI can learn from human language interactions.

A new automated system combines visual and tactile sensing for accurate defect detection.

A look at offline RL's potential and challenges in decision-making.

New strategies improve the efficiency of inverse design across various engineering fields.

Robots can work better in teams by sharing their abilities.

PlaceFormer improves visual place recognition using vision transformers for better accuracy.

Smac Planner enables efficient path planning for mobile robots in various environments.

Learn how agents explore networks without colliding in limited visibility.

Techniques for improving machine learning in dynamic environments.

A new method generates 3D data on human-object interactions for AI.

A new approach enhances how robots predict human actions in collaborative tasks.

A new system enhances how robots gather and learn from real-world data.

Learn how moving frames streamline the analysis of equations in various fields.

S2TPVFormer enhances predictions by integrating spatial and temporal information for better scene understanding.

GExp allows robots to learn and interact with their environments independently.

Exploring robot coverage for safety in hazardous environments.

A new method reduces unnecessary calculations in SSPs, speeding up decision-making.

A new method to forecast agent behavior despite incomplete observations.

A new framework enhances robots' ability to perform varied manipulation tasks.

Examining interactions between families and robots for better design and support.

A new framework enhances unsupervised action recognition using skeleton data.