Results 141 to 150 of about 275,374 (248)

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

Deep learning-enabled scaffolding of spatial arrays of PfCSP epitopes. [PDF]

Proc Natl Acad Sci U S A
Wu NR, Castro KM, Beutler N, Lee WH, Raghavan SSR, Martin GM, Jain M, Agrawal S, Liguori A, Kalyuzhniy O, Skog PD, Terada S, Lai YC, Ndihokubwayo J, Lu D, Eskandarzadeh S, Alavi N, Phelps N, Tingle R, Youhanna JE, Amirzehni S, Rogers TF, Burton DR, Wilson IA, Ward AB, Correia BE, Schief WR.   +26 more
europepmc   +1 more source

3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends

Advanced Robotics Research, EarlyView.
Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu, Bin Cui, Xumin Huang, Xiaoyu (Rayne) Zheng, T. Thang Vo‐Doan, Ruirui Qiao   +5 more
wiley   +1 more source

Risk sensitive twin distributional critics with a lambda lower confidence bound for continuous control reinforcement learning. [PDF]

Sci Rep
Osman O, Yalcin Kavus B, Karaca TK, Tulum G, Karabulut MA.   +4 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

Accelerating the learning process of deep reinforcement learning algorithms in distribution network reconfiguration using an innovative replay method. [PDF]

Sci Rep
Ghaemipour A, Mashhadi HR, Mostafavi SH.
europepmc   +1 more source

Soft Actuators Integrated with Control and Power Units: Approaching Wireless Autonomous Soft Robots

Advanced Robotics Research, EarlyView.
Soft robots exhibit significant development potential in various applications. However, there are still key technical challenges regarding material improvement, structure design and components integration. This review focuses on the development and challenge of soft actuators, power components, and control components in untethered intelligent soft ...
Renwu Shi, Feifei Pan, Xiaobin Ji
wiley   +1 more source

EduSCARA: An open source RRPR educational SCARA platform. [PDF]

HardwareX
Clark A, Martinez-Hernandez U, Assaf T.
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

Integrative Machine Learning of Genetic and Lifestyle Factors for Personalized Skin Health. [PDF]

IEEE J Transl Eng Health Med
Benachour Y, Maloukh L, Geusens B.
europepmc   +1 more source