A new hierarchical motion planning method for space redundant manipulators is proposed, integrating goal-biased RRT with sequential convex programming. The method generates smooth trajectories satisfying obstacle avoidance, end-effector line-of-sight constraints, and joint torque limits, converging in 17 and 18 iterations for static an...
Researchers propose an adaptive dueling double deep Q-network (D3QN) for active defense guidance, addressing partial observability and multi-strategy adversarial conditions. The approach achieves high evasion success rates and robustness under various conditions.
A new strategy design method for multi-aspect information acquisition of non-cooperative targets is proposed using sequential coalition game theory. The method combines four close-range operation models to achieve efficient acquisition of multi-aspect payload information under minimum fuel constraints.
The study reveals that the amount of available resources determines whether an organism relies on its memory or makes decisions based on current sensory input. Memory becomes most useful when sensory information is moderately uncertain, providing a significant improvement in performance.
Researchers have developed a novel hybrid control strategy for quasi-zero stiffness isolators, addressing payload variations and residual resonant peaks. The 'smart cushion' can adapt to changing loads in seconds, making it crucial for precision applications like chip manufacturing and robot handling of fragile goods.
Researchers at Hiroshima University have applied black-box optimization algorithms to model rainfall minimization through weather control. They demonstrated that Bayesian optimization can effectively design weather interventions, even under a limited budget of expensive weather simulations, by optimizing only a small number of trials.
Researchers developed a one-pot synthesis strategy for hierarchical ZSM-5 catalysts that can improve catalyst lifetime during microwave-assisted catalytic pyrolysis of plastic waste. The study found that crystallization temperature strongly controlled the catalyst's pore structure, acidity, morphology, and lifetime.
Researchers propose embedding AI foundation models into control software to enable robot swarms to achieve new levels of autonomy and adaptability. This enables robots to switch between tasks in real-time and interact more naturally with humans.
The Third Symposium on New Contaminant Control highlighted emerging pollutants like persistent organic pollutants, endocrine disruptors, and microplastics as a global challenge. The event emphasized the need for collaborative research and technology deployment to protect public health and environmental quality in China and beyond.
Researchers have developed an AI method to control and stabilize the Uzawa-Lucas endogenous growth model, which describes interaction between physical capital and human capital. The flatness-based adaptive fuzzy controller uses partial data and leverages mathematical properties to ensure global stability.
SourceELSP·JournalArtificial Intelligence and Autonomous Systems·TypeComputational simulation/modeling·DateOct 17, 2025
The study reveals that balance is key in engineering cells to produce more chemicals without antibiotics or complex methods. The team designed genetic circuits using negative feedback systems to optimize cell factories, increasing function by threefold and cumulative chemical production over time.
A new autonomous shipboard landing control system for UAVs has been developed using a ship motion predictor, achieving reliable UAV landing on a maneuvering ship. The system balances precise landing position and safe landing attitude while ensuring steady-state performance and transient behavior.
Researchers developed CL-RaA*, a novel path planning algorithm for fixed-wing UAVs, ensuring safe and efficient navigation in complex environments. The algorithm outperforms existing methods in terms of search speed and feasible path length.
A team of researchers has introduced an Unmanned Aerial Vehicle (UAV) into the SRV-aided CP network and designed a locally-centralized CP method based on clustering optimization strategy. The proposed strategy fully integrates the positioning resources of the entire network, aiming to improve the CP performance of SRV-aided networks. S...
Researchers develop a new framework that optimizes urban drone logistics networks for cost, safety, and noise. The method uses a dual-population co-evolutionary algorithm to balance competing objectives and reduce noise exposure in sensitive areas.
Incremental Nonlinear Dynamic Inversion (INDI) offers a flexible, sensor-driven control approach for novel aircraft configurations. Its ability to adapt to changing dynamics and uncertainties in real time enables stable and reliable control even under challenging conditions.
Researchers developed an innovative NES-AVS device with real-time stiffness adaptation, achieving 84% reduction in flexible rod tip displacement. The composite controller ensures robust detumbling control and high efficiency during detumbling processes.
A research team has proposed a novel algorithmic framework that leverages multi-frame spatio-temporal features to track swarm UAVs in air-to-air scenarios. The method achieves state-of-the-art performance across several datasets and demonstrates its suitability for real-world drone swarms.
Researchers at Beihang University derived capture zones of pulsed and continuous guidance laws for both pursuer and evader, highlighting their differences and influence factors. The study provides a theoretical guideline for guidance law selection in various pursuit-evasion games.
The Lawa model in Thailand has effectively controlled liver fluke infection through a one health approach combining human, animal, and environmental interventions. Over 15 years, the model reduced human infection rates to below 5% and eliminated infections in fish and snail intermediate hosts.
Wei Kang, a Naval Postgraduate School professor in Applied Mathematics, was honored as a 2025 SIAM Fellow for his contributions to dynamic systems and controls. He is recognized for his work on analyzing, controlling, and estimating nonlinear dynamical systems and their applications.
Researchers at Pohang University of Science & Technology and Jeonbuk National University successfully trapped mechanical waves within a single resonator, overcoming a century-old physics barrier. The discovery opens new possibilities for energy harvesting, ultra-sensitive sensors, and advanced communications.
A research team identified simple rules governing decision-making during epidemics, which balance infection costs and social distancing. The guidelines predict population behavior based on disease reproduction number and infection cost, offering a new tool for governments to design intervention strategies.
A Texas A&M University researcher found that reducing alcohol consumption aligns with a harm reduction approach, which may be a more feasible approach for high-risk college drinkers. The study surveyed 822 high-risk college students and analyzed their intention to reduce drinking using the Theory of Planned Behavior.
A team from Osaka Metropolitan University has developed a crystal patterning method that controls the position and orientation of photochromic crystals, known as diarylethenes. This breakthrough allows for the creation of convex structures with precise control over crystal shape and size.
A study by Professor Jan Peters at the University of Cologne explores how virtual slot machines' design features trigger dopaminergic effects in the brain's reward system, leading to erroneous beliefs and expectations about control over outcomes and chances of winning. This can lead to continued gambling despite high losses.
Researchers Bart Besselink, Else Starkenburg and Jagoda Slawinska have been awarded an ERC Consolidator Grant to develop a novel control theory for complex systems. They will also study the early history of our Galaxy using next-generation instruments.
Researchers have summarized advanced field weakening (FW) control strategies for permanent magnet synchronous motors (PMSMs), including offline calculation methods, online computational methods, and model predictive control (MPC)-related methods. The studies highlight the importance of balancing computational difficulty with control ro...
A new approach has been developed by Rensselaer Polytechnic Institute's Chanaka Edirisinghe and Jaehwan Jeong to improve portfolio selection in the context of high-dimensional, small-sample problems. The method uses data-driven techniques such as leverage control and norm constraints to minimize risk and maximize returns.
A Japanese online survey experiment examines how public confidence in the military is affected by civilian control during an armed conflict. Participants showed significant loss of trust in the military when it deviated from civilian control, but not significantly when the legislature was involved.
Researchers present a novel protocol structure for achieving global/semi-global finite-time consensus in multi-agent systems. The protocols use a hyperbolic tangent function to guarantee consensus and provide explicit calculation of settling time, making them practical for real-world applications.
A team of researchers has successfully integrated a metasurface with photonic integrated circuits, enabling fast and tunable control over light manipulation. The device can shape any wavefront in reconfigurable arbitrary polarization states at speeds of up to 1.4 gigahertz.
The proposed algorithm uses rapid estimation of non-cooperative target parameter estimation to track the target's position and velocity in real-time. It achieves effective tracking of continuous maneuvering trajectories based on measurement data, outperforming the interactive multimodel method in terms of trajectory tracking accuracy.
Researchers propose a deep neural network-based method for calibrating 4-quadrant analog solar sensors, reducing errors by up to 0.25° (3σ). The approach uses cubic surface fitting and deep feedforward neural networks to approximate the actual error model and correct errors effectively.
A recent study found that people tend to blame government less when a service is contracted, such as prisoner transport, and more when the victim is another inmate. This shift in blame could lead to better accountability and policies for prison services.
Researchers propose a new bonding theory that illustrates how each boron atom satisfies the octet rule and how alternating σ bonds further stabilize the 2D sheet. The theory introduces a new form of resonance, allowing delocalization of σ electrons within the plane.
A systematic review of existing methods for reducing conspiracy beliefs found that most approaches are ineffective, but those fostering critical thinking show promise. Effective interventions include exposing participants to factual inaccuracies before presenting conspiracy statements.
Researchers from the University of Illinois have developed a new theory that explains how convection occurs inside reactive porous media, shedding light on mass and heat transfer principles. The theory introduces a spectral Sherwood number and extends Newton's law of cooling for convection heat transfer to transient conditions.
Researchers at MIT have proposed a new approach to making qubits and controlling them using beams of light from two lasers of slightly different colors. This method enables the direct manipulation of nuclear spin, allowing for precise identification and mapping of isotopes, as well as improved coherence times for quantum memory.
Researchers have validated a new theory for molecular diffusion in polymer matrices, explaining how molecules move through complex media. The study found that temperature and molecule size significantly impact transport rates, enabling the design of more selective polymer membranes.
A new study across 67 countries reveals that people who believe in COVID-19 conspiracy theories are less likely to support public health efforts, but a strong sense of morality can weaken this effect. The study suggests that appeals to moral foundations could be an effective strategy to reduce such beliefs.
Researchers discovered an inhibitory neuronal network in the brainstem that generates a synchronous rhythm, retracting mouse whiskers from their protracted positions. The oscillator consists of parvalbumin-expressing vIRt neurons firing bursts only during whisker retraction.
Scientists have developed a method to control chemical reactions in a single molecule by applying voltage pulses, resulting in unprecedented selectivity. By fine-tuning the voltage, researchers can interconvert different products formed during the reaction.
A study by WVU researcher Ednilson Bernardes found that supplier pool pressure contributed to the oversupply of prescription opioids like oxycodone and hydrocodone. The researchers analyzed transactions from 2006-2012, revealing that over 90% of supply came from just three generics manufacturers.
Researchers used game theory to create models of cooperative and competitive behaviors in multi-agent systems, focusing on distributed online optimization, federated optimization, and static/dynamic games. The findings have potential applications in smart cities, market competition, information security, and drug development.
Researchers are studying moths to understand agile decision-making in complex environments, aiming to develop autonomous bio-inspired systems. Meanwhile, a team is exploring origami- and kirigami-inspired flexible structures for multifunctional applications.
Tel Aviv University researchers develop innovative model that explains wave formation, tested in complex experiments. The model takes into account all unstable harmonics and limitations of previous models, providing high reliability for describing physical situation.
A recent study investigates the effects of remote work on employee well-being, productivity, and deviant behaviors. The research reveals that job control is generally beneficial for employees, but not all experienced high levels of control during the pandemic shift.
Researchers demonstrate a two-terminal tandem solar cell with enhanced efficiency through spectrum splitting, achieving a 5-6% gain in absolute efficiency. The design uses planar and Lambertian spectral splitters to effectively distribute sunlight among the top and bottom cells.
Rice University scientists discovered that strong magnetic fields can manipulate the material's optical phonon mode, a phenomenon previously unseen. The effects were much stronger than expected by theory, revealing a new way of controlling phonons.
The study reveals that a single folding mechanism can generate an infinite family of shapes in flexible structures. Researchers have developed a novel approach to predict and control tough, flexible structures from skyscrapers to microscale using conformal deformations.
A new approach uses reinforcement learning algorithm to help robotic knee mimic intact human knee in walking, achieving 100% success rate on even ground. The technology also adapts to uneven terrain and changes in walking pace, promising a more comfortable experience for prosthetic users.
Researchers use game theory and economics to steer evolution in a better direction, identifying conditions for improved outcomes through policy changes and coordination. The study provides a mathematical formula to determine when evolution managers will have sufficient incentive to steward biological resources.
SourcePLOS·JournalPLOS Biology·TypeComputational simulation/modeling·DateNov 16, 2021
Researchers have developed a way to precisely control defects within active liquid crystals by changing the gradient of activity around them. This can be achieved through pulses of light or chemical composition changes, enabling controlled movement and behavior of these materials.
New research published in JNeurosci suggests that stress alters brain activity in self-inhibition areas but doesn't trigger binge-eating. This challenges the long-held theory that stress impairs inhibitory control and leads to binge-eating, indicating a more complex underlying mechanism.
A new theory suggests that external cues and environmental factors play a crucial role in the development of executive function, which is responsible for controlling behavior. The research team aims to provide practical guidance for childcare providers and parents.
CPS&C'2021 brings together researchers and practitioners from around the world to discuss cyber-physical systems and control. The conference features keynote and plenary talks, sessions, and discussions, with accepted full papers published in a Scopus-indexed book of Conference Proceedings.
Researchers at Tokyo Institute of Technology developed a novel approach for modular controller design, enabling decentralized system upgrades without compromising stability. The new design allows individual subsystem developers to design and implement controllers independently, improving overall system performance.
Mechanical engineering researchers studied fruit flies' eye movements to improve robotic flight control. The study found that flies use eye movements to quickly coordinate their wings in response to visual cues, with reactions up to four times faster than the body or wings.
Adding polymers to a solution containing hollow silica nanocubes can adjust their attractions, leading to stable mixtures. By varying polymer concentrations, researchers can manipulate the behavior of colloidal mixtures and explore new technologies in light sensing and manipulation.