Results 61 to 70 of about 22,620 (225)

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

open access: yesAdvanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek   +3 more
wiley   +1 more source

Development of converted deterministic finite automation of decision tree rules of student graduation and adaptive learning environment

open access: yes, 2018
In theory of computation, a deterministic finite automaton (DFA) is a finite state machine that accepts/rejects finite strings of symbols and only produces a unique computation.
Raviz, Jennalyn G.   +3 more
core  

Universal Gripper for Industrial Manipulation With Enhanced Rigid Mechanics and Self‐Adaptable Fingers

open access: yesAdvanced Robotics Research, EarlyView.
An enhanced universal gripper combining rigid mechanics with self‐adaptable fingers is presented for industrial automation. The novel six‐bar linkage with integrated compliant pad eliminates mechanical interference while enabling passive shape adaptation.
Muhammad Usman Khalid   +7 more
wiley   +1 more source

On the Existence and Efficiency of Equilibria under Liability Rules [PDF]

open access: yes
While focus of the mainstream analysis of liability rules has been on negligence based liability, some recent works have recommended sharing of liability between the parties involved in an accident.
Ram Singh
core   +2 more sources

Subjective beliefs formation and elicitation rules : experimental evidence [PDF]

open access: yes
Since they have been increasingly used in economics, elicitation rules for subjective beliefs are under scrutiny. In this paper, we propose an experimental design to compare the performance of such rules.
Jean-Christophe Vergnaud   +2 more
core  

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

LLM‐Integrated Human–Robot Interaction System for Microrobots

open access: yesAdvanced 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

Deterministic and nondeterministic decision rules in classification process

open access: yes, 2010
In this paper an algorithm of calculating nondeterministic decision rules from the decision table was presented. The algorithm uses additional conditions imposed on rules. This is a greedy algorithm.
Paszek, P., Marszał-Paszek, B.
core  

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

open access: yesAdvanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou   +4 more
wiley   +1 more source

Heuristic rule induction for decision making in near-deterministic domains

open access: yes, 2010
Summarization: A large corpus of work in artificial intelligence focuses on planning and learning in arbitrarily stochastic domains. However, these methods require significant computational resources (large transition models, huge amounts of samples) and
Λαγουδακης Μιχαηλ(http://users.isc.tuc.gr/~lagoudakis)   +2 more
core   +1 more source

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