Results 201 to 210 of about 5,691,837 (272)

Brain Dynamics Underlying Reaching Movements Under Uncertainty. [PDF]

Hum Brain Mapp
Liu N, Zabicki A, Fink GR, Mengotti P, Vossel S.   +4 more
europepmc   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source

Enhancing the Interpretation of Competition Performance and Physical Characteristics in Male Youth Track and Field Athletes. [PDF]

Eur J Sport Sci
Baker J, Read P, Graham-Smith P, Monaco M, Cardinale M, Jones TW.   +5 more
europepmc   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

Inferring genetic values and variances from pre-processed phenotypes. [PDF]

Sci Rep
Gianola D, Ravagnolo O, Schoen CC.
europepmc   +1 more source

Mutual Adaptation and Influence: Review of Latent Dynamics Models in Human–Robot Interaction

Advanced Robotics Research, EarlyView.
Robots are becoming better teammates by learning hidden patterns in how people act. This review covers how state‐of‐the‐art approaches leverage these patterns to help robots not only react but also anticipate and guide cooperation. Here, we synthesize a unifying framework for these approaches, classify and review existing works, and highlight key ...
Mason O. Smith, Sunny Amatya, Seyed Yousef Soltanian, Jonathan Bush, Wenlong Zhang   +4 more
wiley   +1 more source

Bias-corrected estimation in dynamic panel data models with heteroscedasticity. [PDF]

Bun, Maurice J.G., Carree, Martin A.
core  

Normal gains: estimators of learning rates in pretest-posttest settings. [PDF]

Front Psychol
Navarrete-Ulloa JA, Giaconi V, Contador G.   +2 more
europepmc   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

Advanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings, Levanya Dewanarayana, Iline Shaju, Haider Al‐Wizni, Sampson Marquis, Weicheng Huang, Pooya Sareh   +6 more
wiley   +1 more source

Robust inference and correlates from genetic associations with personality. [PDF]

Nature
Schwaba T, Clapp Sullivan ML, Akingbuwa WA, Ilves K, Tanksley PT, Williams CM, Dragostinov Y, Mallard TT, Tubbs JD, Liao W, Ackerman LS, Fealy JCM, Hemani G, de la Fuente J, Smith GD, Gupta P, Stein MB, Gelernter J, Levey DF, Võsa U, Ausmees L, Realo A, Estonian Biobank Research Team, Vaht M, Allik J, Esko T, Mõttus R, Vainik U, Jonsdottir GA, Thorleifsson G, Gunnarsson ÁF, Bjornsdottir G, Thorgeirsson TE, Stefansson H, Stefansson K, Cheesman R, Qin Q, Corfield EC, Ask H, Torvik FA, Ystrom E, Tesli M, Boomsma DI, de Geus EJC, Hottenga JJ, Melo DC, Snieder H, Hartman CA, Xia C, Campbell A, Luciano M, Deary IJ, Hill WD, Jang SK, Vrieze SI, Abecasis G, Lupton MK, Mitchell BL, Viher PV, Colodro-Conde L, Martin NG, Medland SE, Derks EM, Wormington B, Kaprio J, Silventoinen K, Palviainen T, Musial A, Rimfeld K, Plomin R, Malanchini M, Dick DM, Aliev F, COGA Collaborators, Spit for Science Working Group, Wesseldijk LW, Ullén F, Mosing MA, Kranzler HR, Nunez Y, Beck S, Polimanti R, Edwards T, Giannelis A, Willoughby EA, Lee JJ, McGue M, Terracciano A, Marongiu M, Fiorillo E, Cucca F, Sutin AR, van der Most PJ, Oldehinkel AJ, Kretschmer T, Shabalin AA, Docherty AR, Krueger RF, Freilich CD, Mishra BH, Lehtimäki T, Raitakari OT, Kähönen M, Saarinen A, Dobewall H, Keltikangas-Järvinen L, Berger K, Herrera-Rivero M, Streit F, Awasthi S, Witt SH, Tuhkanen J, Räikkönen K, Eriksson JG, Lahti J, Davies G, Redmond P, Taylor A, Corley J, Russ TC, Ciullo M, Nutile T, Ding J, Qian Y, Tanaka T, Ferrucci L, Zillich L, Sirignano L, Harden KP, Genç E, Gajewski PD, Getzmann S, Fraenz C, Schneider Peñate JE, Lis S, Hall ASM, Schmahl C, Herpertz SC, Abdellaoui A, Nivard MG, Tucker-Drob EM.   +140 more
europepmc   +1 more source