Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
UNIVERSITY OF MELBOURNE ANIMAL EXPERIMENTATION ETHICS COMMITTEE MINUTES
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University of Melbourne. Animal Experimentation Ethics Committee
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“Living in the Discomfort”: Embodied Professional Learning for Transdisciplinary Higher Education
Transdisciplinary higher education (TDHE) requires educators to integrate diverse forms of knowledge in their teaching and learning; however, professional learning pathways rarely support the embodied approaches essential to achieve this aim.
Lucy Allen-Kelley +2 more
doaj +1 more source
Nonlocomotory Robotic Strategies for Dynamic Rotation Control in Terrestrial Robots: A Review
Terrestrial robots increasingly require rapid body rotation to maintain stability and agility in complex environments. This review shows nonlocomotory rotational control strategies that operate without ground contact, including reaction wheels, tails, bars, limbs, and thrusters.
Y. Liang +14 more
wiley +1 more source
Teaching and Learning at Rice: Fall 2015 Newsletter
Inside this issue: Director’s Welcome -- Celebrating Extraordinary Teaching -- How Do We Learn & Why Does It Matter? 3rd Annual Symposium on Teaching & Learning -- Semester in Review -- The Early Years of the CTE: Reflecting Back and Looking Forward ...
Center for Teaching Excellence
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ASPECTS ON APPLYING EXPERIENTIAL LEARNING THEORY IN TEACHING GRAPHICAL SUBJECTS
The paper presents aspects connected with the application of the principles of the experiential learning theory in engineering education, in teaching graphical subjects. The experiential learning theory presents the process of learning as being cyclical,
Ramona CLINCIU, Mihaela Rodica CLINCIU
doaj +2 more sources
Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
Teaching and Learning at Rice: Fall 2014 Newsletter
Inside this issue: Welcome to the Fall 2014 issue of our newsletter -- Graduate Certificate in Teaching & Learning -- "Teaching in the University of Tomorrow": De Lange Conference 2014 -- Semester in Review -- End-of-semester Tip -- What we're reading --
Center for Teaching Excellence
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Continual Learning for Multimodal Data Fusion of a Soft Gripper
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
The Strong and Weak Senses of Theory-Ladenness of Experimentation: Theory-Driven versus Exploratory Experiments in the History of High-Energy Particle Physics [PDF]
In the theory-dominated view of scientific experimentation, all relations of theory and experiment are taken on a par; namely, that experiments are performed solely to ascertain the conclusions of scientific theories.
Karaca, Koray
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