Results 61 to 70 of about 96,046 (256)

Safe Robot Trajectory Control Using Probabilistic Movement Primitives and Control Barrier Functions

Frontiers in Robotics and AI, 2022
In this paper, we present a novel means of control design for probabilistic movement primitives (ProMPs). Our proposed approach makes use of control barrier functions and control Lyapunov functions defined by a ProMP distribution.
Mohammadreza Davoodi, Asif Iqbal, Joseph M. Cloud, William J. Beksi, Nicholas R. Gans   +4 more
doaj   +1 more source

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

An Approach to Acquire Path-Following Skills by Industrial Robots From Human Demonstration

IEEE Access, 2021
Industrial robots have mainly been programmed by operators using teach pendants in a point-to-point scheme with limited sensing capabilities. New developments in robotics have attracted a lot of attention to robot motor skill learning via human ...
Angel Rodriguez-Linan, Ismael Lopez-Juarez, Alan Maldonado-Ramirez, Antonio Zalapa-Elias, Luis Torres-Trevino, Jose Luis Navarro-Gonzalez, Pamela Chinas-Sanchez   +6 more
doaj   +1 more source

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

Guided Stochastic Optimization for Motion Planning

Frontiers in Robotics and AI, 2019
Learning from Demonstration (LfD) is a family of methods used to teach robots specific tasks. It is used to assist them with the increasing difficulty of performing manipulation tasks in a scalable manner.
Bence Magyar, Nikolaos Tsiogkas, Nikolaos Tsiogkas, Nikolaos Tsiogkas, Bruno Brito, Bruno Brito, Mayank Patel, David Lane, Sen Wang   +8 more
doaj   +1 more source

Consensus Standards and Recommendations for Developmental and Cognitive Surveillance, Screening, and Evaluation in Sickle Cell Disease: Executive Summary From the National Alliance of Sickle Cell Centers Neurocognitive Workgroup

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neurodevelopmental and neurocognitive difficulties are prevalent among individuals with sickle cell disease and warrant prompt identification and support. This Special Report provides an executive summary of standards and recommendations for surveillance, screening, and evaluation for development and cognition across the lifespan developed by ...
Alyssa M. Schlenz, Donna Murdaugh, Andrew M. Heitzer, Jennifer N. Longoria, Wendy Santos‐Modesitt, Arianna Martin, Judy Cavazos, Jeff Schatz, Catherine R. Hoyt, Alison King, Eboni I. Lance, Steven Hardy, Marsha Treadwell   +12 more
wiley   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems
This article introduces a novel approach for learning robotic skills from human demonstrations, Elastic Fast Marching Learning (EFML). This method seamlessly integrates concepts from Elastic Maps, a Learning from Demonstration (LfD) method based on a ...
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
doaj   +1 more source

The Development of Intelligent Agents: A Case-Based Reasoning Approach to Achieve Human-Like Peculiarities via Playback of Human Traces

IEEE Access, 2023
Recent advances in the digital gaming industry have provided impressive demonstrations of highly skilful artificial intelligence agents capable of performing complex intelligent behaviours.
Naveed Anwer Butt, Zafar Mahmood, Ghani Ur Rehman, Moustafa M. Nasralla, Muhammad Zubair, Haleem Farman, Sohaib Bin Altaf Khattak   +6 more
doaj   +1 more source

Mapping Childhood Cancer Care Services in Oceania: Methodological Lessons From the SIOP Global Mapping Programme

Pediatric Blood &Cancer, EarlyView.
ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj, Christy Noble, Amy Gray, Daniel C. Moreira, Jennifer Lowe, Maite Gorostegui, Gwenda Anga, Andrew Soma, Milena Lay Dos Santos, Siobhan Cross, Erin Luttrell, Michael Sullivan, Julie Cayrol, Julia Challinor, Neil Ranasinghe, Jordana McLoone, Claire E. Wakefield   +16 more
wiley   +1 more source

Learning for control from multiple demonstrations [PDF]

Proceedings of the 25th international conference on Machine learning - ICML '08, 2008
We consider the problem of learning to follow a desired trajectory when given a small number of demonstrations from a sub-optimal expert. We present an algorithm that (i) extracts the---initially unknown---desired trajectory from the sub-optimal expert's demonstrations and (ii) learns a local model suitable for control along the learned trajectory.
Adam Coates 0002, Pieter Abbeel, Andrew Y. Ng   +2 more
openaire   +1 more source