Results 151 to 160 of about 198,076 (205)

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

torchtree: Flexible Phylogenetic Model Development and Inference Using PyTorch. [PDF]

Syst Biol
Fourment M, Macaulay M, Swanepoel CJ, Ji X, Suchard MA, Matsen Iv FA.   +5 more
europepmc   +1 more source

The opportunities and challenges of all-through leadership [PDF]

, 2011

core  

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Efficacy of adhesive discs for nocturnal xerostomia after head and neck radiotherapy: a randomized crossover trial. [PDF]

Clin Oral Investig
Schoppmeier CM, Zimmer S, Meyer-Hofmann AM, Ludwig E, Barbe AG.   +4 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
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, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Deciphering cell-fate trajectories using spatiotemporal single-cell transcriptomic data. [PDF]

NPJ Syst Biol Appl
Zhang Z, Wang Z, Sun Y, Shen J, Peng Q, Li T, Zhou P.   +6 more
europepmc   +1 more source

A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics

Advanced Robotics Research, EarlyView.
This review provides an introspective of sensors and controllers in soft robotics. Initially describing the current sensing methods, then moving on to the control methods utilized, and finally ending with challenges and future directions in soft robotics focusing on the material innovations, sensor fusion, and embedded intelligence for sensors and ...
Ean Lovett, Maxwell Hammond, Niloufar Seyfi, Amirreza Fahim Golestaneh, Venanzio Cichella, Caterina Lamuta   +5 more
wiley   +1 more source

Patients' Perspectives on the Role of General Practice-Based Pharmacists: A Focus Group Study. [PDF]

Patient Prefer Adherence
Hazen A, Kempen T, Leendertse A, Bouvy M, van Dijk L, Zwart D.   +5 more
europepmc   +1 more source

Continual Learning for Multimodal Data Fusion of a Soft Gripper

Advanced Robotics Research, EarlyView.
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