Results 81 to 90 of about 61,559 (268)
Advanced Robotics Research, EarlyView.This work presents a robotic control method for human–robot collaborative assembly based on a biomechanics‐constrained digital human model. Reinforcement learning is used to generate physiologically plausible human motion trajectories, which are integrated into a virtual environment for robot control learning.
Bitao Yao +4 more
wiley +1 more source
EFFICIENT POLICY RULEFOR INFLATION TARGETING INCOLOMBIA [PDF]
In a small macroeconomic model of the Colombian economy I investigate the problem of selecting an efficient simple policy rule - rules that exploit a reduced information set-that is consistent with inflation targeting. Even though simple policy rules are
MARTHA ROSALBA LOPEZPIÑEROS
core
Resilience of Electricity Transition Strategies in Israel Under Deep Uncertainty
EnergiesElectricity systems increasingly operate under deep uncertainty driven by geopolitical risk, volatile fuel markets, trade fragmentation, security threats, and technological change.
Helyette Geman, Steve Ohana
doaj +1 more source
Efficient and Robust Standing Postures of Quadruped Robots
Advanced Robotics Research, EarlyView.A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
Irreversibilities and the timing of environmental policy [PDF]
, 1999 The Standard framework in which economists evaluate environmental policies is cost-benefit analysis, so policy debates usually focus on the expected flows of costs and benefits, or on the choice of discount rate.
Robert S Pindyck, Pindyck, Robert S.
core +1 more source
LLM‐Integrated Human–Robot Interaction System for Microrobots
Advanced Robotics Research, EarlyView.This paper proposes an LLM‐based control framework for guiding microrobots using human natural language. This framework can convert the natural human speech into safe and executable command sets for reliable navigation in complex environments. The experimental results show high accuracy and robustness in task performance, demonstrating the potential of
Bairong Zhu, Amar Salehi, Tingting Yu
wiley +1 more source
, 2004 We determine optimal monetary policy under commitment in a forwardlooking New Keynesian model when nominal interest rates are bounded below by zero. The lower bound represents an occasionally binding constraint that causes the model and optimal policy to
Adam, Klaus, Billi, Roberto M.
core
Electoral uncertainty and the deficit bias in a New Keynesian Economy [PDF]
Recent attempts to incorporate optimal fiscal policy into New Keynesian models subject to nominal inertia, have tended to assume that policy makers are benevolent and have access to a commitment technology.
Campbell Leith, Simon Wren-Lewis
core +2 more sources
Hamilton–Jacobi–Bellman-Based Optimal Effort Allocation for Student Productivity Dynamics
AppliedMathThe adaptive regulation of student productivity remains a challenging problem in technology-enhanced learning environments due to the continuous and uncertain nature of cognitive effort, attention, and behavioral fluctuations.
Wafa Louafi, Houda Tadjer, Yacine Lafifi
doaj +1 more source
Data‐Driven Bulldozer Blade Control for Autonomous Terrain Leveling
Advanced Robotics Research, EarlyView.A simulation‐driven framework for autonomous bulldozer leveling is presented, combining high‐fidelity terramechanics simulation with a neural‐network‐based reduced‐order model. Gradient‐based optimization enables efficient, low‐level blade control that balances leveling quality and operation time.
Harry Zhang +5 more
wiley +1 more source