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Found 9 papers, 3 papers with code
Adaptable Recovery Behaviors in Robotics: A Behavior Trees and Motion Generators(BTMG) Approach for Failure Management
In dynamic operational environments, particularly in collaborative robotics, the inevitability of failures necessitates robust and adaptable recovery strategies.
Learning Actions and Control of Focus of Attention with a Log-Polar-like Sensor
With the long-term goal of reducing the image processing time on an autonomous mobile robot in mind we explore in this paper the use of log-polar like image data with gaze control.
Using Knowledge Representation and Task Planning for Robot-agnostic Skills on the Example of Contact-Rich Wiping Tasks
The transition to agile manufacturing, Industry 4. 0, and high-mix-low-volume tasks require robot programming solutions that are flexible.
SkiROS2: A skill-based Robot Control Platform for ROS
The need for autonomous robot systems in both the service and the industrial domain is larger than ever.
Out-of-Distribution Detection for Adaptive Computer Vision
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions.
Skill-based Multi-objective Reinforcement Learning of Industrial Robot Tasks with Planning and Knowledge Integration
We introduce an approach that provides a combination of task-level planning with targeted learning of scenario-specific parameters for skill-based systems.
Bayesian Optimization
Multi-Objective Reinforcement Learning
Learning of Parameters in Behavior Trees for Movement Skills
Reinforcement Learning (RL) is a powerful mathematical framework that allows robots to learn complex skills by trial-and-error.
Continuous close-range 3D object pose estimation
In the context of future manufacturing lines, removing fixtures will be a fundamental step to increase the flexibility of autonomous systems in assembly and logistic operations.
Continuous hand-eye calibration using 3D points
The recent development of calibration algorithms has been driven into two major directions: (1) an increasing accuracy of mathematical approaches and (2) an increasing flexibility in usage by reducing the dependency on calibration objects.
