{"id":1079,"date":"2024-07-12T23:56:32","date_gmt":"2024-07-12T15:56:32","guid":{"rendered":"http:\/\/www.bmi-robotics.com\/?page_id=1079"},"modified":"2026-06-29T22:52:08","modified_gmt":"2026-06-29T14:52:08","slug":"news-2","status":"publish","type":"page","link":"http:\/\/www.bmi-robotics.com\/index.php\/news-2\/","title":{"rendered":"NEWS"},"content":{"rendered":"\n
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Congratulations!<\/strong> Postdoc Xize Gao Received Special Grant from China Postdoctoral Science Foundation<\/strong>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Congratulations!<\/strong> As a result of National Key R&D interdisciplinary research project<\/strong> (2023YFB4705500) on brain-machine interfaces and intelligent robotics led by our lab, our collaborative team published a paper in National Science Reviews<\/em><\/strong> (IF: 17.1)<\/p>\n\n\n\n

\u200bChen et al. present a closed-loop cyborg\u2013swarm architecture that leverages the mouse\u2019s intrinsic affective state\u2014decoded in real time via a lightweight wireless brain-machine interface (BMI) recording fear-related \u03b2-band (15\u201330 Hz) activity in the basolateral amygdala (BLA)\u2014as a high-level trigger to modulate robotic swarm strategy. The system operates in a dual-mode framework: under baseline conditions, a PID-based exploration mode allows natural mouse roaming, while detected fear autonomously switches control to a Multi-Agent Deep Deterministic Policy Gradient (MADDPG) policy, enabling a heterogeneous MouseBot\u2013ally MAV team to execute coordinated adversarial defense against an enemy MAV in a search\u2013interference game. Experimental results demonstrate that biological affective signals reliably trigger rapid authority handover and robust task completion, marking a paradigm shift from physical-level bio-actuation to cognitive-level bio-hybrid cooperation, read more<\/a>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Congratulations!<\/strong> The research article on CNS drug delivery by postdoctoral researcher Xize Gao<\/strong> et al. has been published in Cell<\/em><\/strong>.<\/p>\n\n\n\n

\u200bGaoet al.<\/em> hijacked calvarial immune cells using drug-loaded nanoparticles and leveraged their intrinsic migratory capacity through skull-meningeal microchannels to bypass the blood-brain barrier for targeted CNS drug delivery. In ischemic stroke mouse models, this delivery strategy has demonstrated promising therapeutic efficacy compared to conventional approaches. The research drew many media’s attention: featured by Tsinghua University<\/a>, EurekAlert<\/a> and BioArt<\/a>, Read more<\/a><\/em>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Congratulations!<\/strong> Ph.D. students Ziheng Tang<\/strong>, Chengqian Cui et al. pulished an article about MoS2\/PbS phototransistors in Advanced Science<\/em>.<\/em><\/strong><\/p>\n\n\n\n

\u200bTang et al.<\/em> investigate the band structure of vertical and lateral MoS2<\/sub>\/PbS heterojunctions via<\/em> ab initio calculations and find that lateral heterojunctions in heterostructures dominate the bandgap tunability via tuning of the Type-II band alignment. To achieve wafer-scale uniformity, we investigated how plasma treatment modulates the thin-film surface energy, and the results substantially improved fabrication scaling of MoS2<\/sub>\/PbS heterojunctions from traditional micro-scale level to an incredible 4-inch wafer-scale with near-ideal yields (97%) and enabled bandgap tunability (from 1.24 to 0.61 eV), Read more<\/a><\/em>. <\/p>\n<\/div>\n<\/div>\n\n\n\n

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Congratulations!<\/strong> The research article on piezoelectric nanotransducers for wireless neurostimulation by Ph.D. students Chengqian Cui<\/strong> & postdoctoral researcher Xize Gao<\/strong> et al. has been accepted by ACS nano<\/em><\/strong>.<\/p>\n\n\n\n

\u200bCui et al.<\/em> proposed an aggregation-enhanced piezoelectric nanotransducer for wireless neurostimulation under low-intensity focused ultrasound. This design enables efficient ultrasound-driven activation of voltage-gated ion channels in vitro<\/em> and selective modulation of spatially distinct cortical regions in rats, as confirmed by robust ECoG and EMG responses, neuronal activation, and favorable biocompatibility. Further details will be presented in upcoming articles scheduled for official release, Read more<\/a><\/em>.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Ph.D. students Hongru Liu<\/strong> & Jiyong Li<\/strong> & Lingyi Zheng<\/strong> et.al published an article about Marmoset BMI in Advanced Science<\/em>.<\/a><\/p>\n\n\n\n

\u200bLiu et al<\/em>. present a miniaturized wireless brain-machine interface (BMI) integrated with custom-designed 120-channel \u03bcECoG arrays, engineered for monitoring brain activities in freely behaving marmosets. The BMI can capture and characterize behavior-specific neural signals, including drinking-related activation, pre-vocalization anticipatory responses, and vigilance-induced transient responses enabling advanced studies of neural mechanisms underlying natural primate behaviors.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Ph. D. students Chengqian Cui <\/strong>& Xize Gao<\/strong> Won the Best Conference Paper Award at the IEEE-NSENS 2025 Conference.<\/a><\/p>\n\n\n\n

\u200bRecently, the 4th IEEE International Conference on Micro\/Nano Sensors for AI, Healthcare, and Robotics (IEEE-NSENS 2025) was held in Kuala Lumpur, Malaysia. Prof. MingJun Zhang gave the plenary talk named as “Embodied Intelligence Brain-machine Interface<\/strong>“. PhD students Chengqian Cui, Xize Gao, and Nianzhen Du delivered oral presentations. Among them, the paper co-authored by Cui Chengqian and Gao Xize was awarded the conference’s sole \u200b\u200bBest Conference Paper Award\u200b<\/strong>\u200b.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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Ph.D. students Tiancheng Sheng<\/strong> & Lingyi Zheng<\/strong> et.al. published an article about Modular BMI in Cell Device<\/strong><\/em>.<\/a><\/p>\n\n\n\n

Sheng et al present a modular multimodal brain-machine interface (BMI) device capable of adapting different configurations, modalities, and capabilities. The modular device can be configured to support neurorecording, neurostimulation, and drug delivery, and its unified interfaces facilitates plug-andplay usage. The applicability of the BMI was demonstrated across four scenarios, including closed-loop seizure modulation in free-moving rats, cortical and depth recording in swine, alpha wave detection in humans, and directional neurostimulation in vitro.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/a>Ph. D. student Xize Gao<\/strong> Enter the Student Paper Competition Finalist at the IEEE EMBC 2024 Conference<\/a>.<\/p>\n\n\n\n

The 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, was held in Orlando, Florida, USA, July 15-19, 2024. As social determinants of health take on an ever-important role, the conference theme, \u201cTechnology and its promise for equity and access for well-health,\u201d addresses the great potential impacts that engineers can provide to the whole of society. Prof. Zhang and Xize Gao attended this meeting with a conference paper “Hitchhiking calvaria immune cells to bypass BBB for CNS drug delivery through transcranial nanoparticle microinjection”.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/a>The National Natural Science Foundation of China (NSFC) reports the latest research progress of our group<\/a>.<\/p>\n\n\n\n

Recently, the National Natural Science Foundation of China (NSFC) reported the latest research progress of our group on its official website, “Under the National Natural Science Foundation of China (NSFC) project (Grant Nos. 62173200, 62350710211, and 62173198).<\/p>\n<\/div>\n<\/div>\n\n\n\n

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<\/a><\/a>Ph.D. students Xize Gao<\/strong> et.al. published an article in Science Advances<\/strong><\/em>.<\/a><\/p>\n\n\n\n

Inspired by the expansion of the spiny dolphin, the team of Professor Mingjun Zhang from Tsinghua University School of Medicine and Associate Professor Jing Xu from the Department of Mechanics have jointly developed a painless and biodegradable drug-delivery robot that uses intestinal peristalsis to drive microneedles into the intestinal wall.<\/p>\n<\/div>\n<\/div>\n\n\n\n

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