Results 131 to 140 of about 12,004,986 (327)
Industrial policy, learning, and development [PDF]
Abstract Industrial policies have played an important role in successful economic development in countries. Through these policies, governments intervene in the market’s sectoral allocation of resources and choice of technologies. Earlier industrial policies had a narrow remit and made use of a limited number of instruments. This chapter
openaire +2 more sources
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source
PILCO: A Model-Based and Data-Efficient Approach to Policy Search
In this paper, we introduce PILCO, a practical, data-efficient model-based policy search method. PILCO reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way.
Deisenroth, MP, Rasmussen, CE
core +3 more sources
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
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
Hard‐Magnetic Soft Millirobots in Underactuated Systems
This review provides a comprehensive overview of hard‐magnetic soft millirobots in underactuated systems. It examines key advances in structural design, physics‐informed modeling, and control strategies, while highlighting the interplay among these domains.
Qiong Wang +4 more
wiley +1 more source
Expectations, Learning and Monetary Policy: An Overview of Recent Research [PDF]
Expectations about the future are central for determination of current macroeconomic outcomes and the formulation of monetary policy. Recent literature has explored ways for supplementing the benchmark of rational expectations with explicit models of ...
George W. Evans, Seppo Honkapohja
core
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
Adaptive Optimal Control of Hybrid Electric Vehicle Power Battery via Policy Learning. [PDF]
Zhu Q, Sun H, Zhao Z, Liu Y, Zhao J.
europepmc +1 more source
A Review on Sensor Technologies, Control Approaches, and Emerging Challenges in Soft Robotics
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 +5 more
wiley +1 more source
The cultural and societal diversity in the jurisprudence of living dangerously reflects equally diverse views on the deeper question of law’s moral purpose.
Lloyd Burton
doaj

