Latest Articles for Robotics

MotionChain creates realistic human movements through conversation, combining text, images, and motion data.

A novel approach allows agents to optimize collaboratively with minimal data sharing.

Introducing EARL: a new method for effective online continual learning.

An overview of formal methods for designing safe autonomous systems.

Researchers improve robot navigation through refined motion planning techniques.

Research shows how curiosity helps robots learn about objects through exploration.

Combining language and navigation improves how robots function in various environments.

A new dataset aids indoor tracking research using multiple sensor types.

Introducing efficient control methods for large-scale systems using distributed observers.

Robots improve pushing tasks by better handling uncertainty during object manipulation.

A look into the integration of task and motion planning in robotics.

JUICER helps robots learn furniture assembly with fewer examples.

The ROBUST dataset helps researchers address software issues in robotics.

DaTAPlan improves how robots assist us in daily tasks through task anticipation.

A look at how distributed observers estimate states in various applications.

COMO helps computers understand environments using a single camera.

A new method for improving control in complex systems using MR-ARL.

A new method for anticipating and addressing failures in self-driving cars and drones.

New methods help robots navigate challenges in dynamic environments effectively.

Exploring how symmetrical designs improve robot movement and efficiency.

Best Response Shaping improves cooperation among agents in competitive environments.

A look into how Morse theory analyzes distance functions and critical points.

Koala improves how computers understand long videos using key frames.

New techniques enable safer decision-making in reinforcement learning through human expert guidance.

A method to help computers identify physical properties from images.

F-HASEL actuators achieve high-speed movements while sensing their own displacement.

This article examines how well policies work from approximate models in complex environments.

Examining how Finsler geometry improves shape analysis in computer vision.

A novel method enhances learning in multi-objective settings using prior demonstrations.

Exploring the viability of smaller language models for effective robotic task planning.

Research focuses on reducing injuries from sharp tools in human-robot collaborations.

Structurally Flexible Neural Networks improve adaptability for diverse tasks.

This method improves 3D scene quality using camera and sonar data.

Explore how Schrodinger bridges and Maximum Caliber illuminate complex system dynamics.

DTC123 improves 3D model generation from single images using teaching models.

A new approach to merging sensor data enhances object detection and mapping.

Research reveals new methods for better UGV control in challenging environments.

A new method enhances decision strategies using the Value-at-Risk framework.

Research highlights the need for sidewalk robots to consider mobility disabilities.

A look at spanners and their role in efficient graph connections.