Rpl ut

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Yth. 1. Para Pengurus Pokjar dan Salut 2. Mahasiswa Menindaklanjuti Peraturan Rektor Nomor 119 Tahun 2018 tentang Pedoman Rekognisi Pembelajaran Lampau dan Katalog Sistem Penyelenggaraan Universitas Terbuka Tahun 2020/2021 BAB VIII Butir D tentang Rekognisi Pembelajaran Lampau (RPL), dan Surat Edaran Wakil Rektor Bidang Akademik Nomor: 2163/UN31.BAKP 2/KM.00.03/2021 tentang Pedoman Pengajuan Alih Kredit/RPL tertanggal 21 Januari 2021, dengan ini kami informasikan sebagai berikut.

• Mahasiswa registrasi pertama mulai 2020/21.2 (2021.1) dan seterusnya dapat mengajukan alih kredit melalui aplikasi RPL pada laman http://rpl.ut.ac.id dengan cara sebagai berikut : • Mengisikan NIM dan tanggal lahir mahasiswa untuk Login • Melakukan unggah berkas sesuai rpl ut persyaratan yang diperlukan • Melakukan entry mata kuliah yang dialihkreditkan • Mengetahui perkembangan proses pengajuan alih kredit rpl ut menu Laporan Monitoring Proses Alih kredit.

• Pengajuan alih kredit dilakukan paling lambat 30 hari kalender setelah batas akhir pembayaran registrasi pertama.

• Setiap mahasiswa UT hanya diberi kesempatan mengajukan alih kredit satu kali selama masa studi.

rpl ut

• Mahasiswa yang tidak mengajukan alih kredit atau tidak melengkapi kekurangan berkas alih kredit sampai dengan 30 hari setelah batas akhir pembayaran registrasi pertama makadianggap sebagai mahasiswa baru (bukan mahasiswa alih kredit) Demikian rpl ut sampaikan. Atas perhatian dan kerja sama yang baik, kami sampaikan terima kasih.

Kepala, Drs. Enceng, M.Si Berikut lampiran File Surat dalam bentuk PDF Research Robot Learning Reading Group RPL YouTube Channel Talks and Tutorials You can learn more about our recent research from our talks and tutorials.

• Objects, Skills, and the Quest for Compositional Robot Autonomy. Stanford Robotics Seminar, February 2022. ( website, video) • Visual Affordance Learning for Robot Manipulation.

Toyota Research Institute, August 2021.

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( slides) • Visual Imitation Learning: Generalization, Perceptual Grounding, and Abstraction. RSS’20 Workshop on Advances & Challenges in Imitation Learning for Robotics, July 2020.

( workshop, slides) • Building General-Purpose Robot Autonomy: A Progressive Roadmap. Samsung Forum, June 2020. ( video, slides) • Learning Keypoint Representations for Robot Manipulation. IROS’19 Workshop on Learning Representations for Planning and Control, November 2019. ( workshop, slides) • Learning How-To Knowledge from the Web. IROS’19 Workshop on the Applications of Knowledge Representation and Semantic Technologies in Robotics, November 2019.

( workshop, slides) • Closing the Perception-Action Loop: Towards General-Purpose Robot Autonomy. Stanford Ph.D. Defense, August 2019. ( dissertation, slides) Open-Source Software & Data We devote effort to making scientific research more reproducible and making knowledge accessible to a broader population. Open-sourcing research software and datasets is one of our key practices.

You can find open-source code and data out of our research in the Publications page or on our GitHub. We highlight some public resources below: • robomimic: open-source framework for robot learning from demonstration • robosuite: modular simulation framework and benchmark for robot learning • RoboTurk: large-scale crowdsourced teleoperation dataset for robotic imitation learning • SURREAL: distributed reinforcement learning framework and robot manipulation benchmark • AI2-THOR: open-source interactive environments for embodied AI • Visual Genome: visual knowledge base that connects structured image concepts to language Media Coverage (Selected)
RPL bertujuan untuk memberikan kesempatan bagi masyarakat untuk masuk dalam sistem pendidikan formal atau disetarakan dengan kualifikasi tertentu berdasarkan pada pendidikan formal, nonformal, informal atau pengalaman kerja pada bidang yang sangat khusus atau langka dan dibutuhkan oleh negara seperti dosen, instruktur, guru, tenaga kesehatan dan profesi tertentu lainnya yang sangat spesifik.

Format Form Permohonan Alih Kredit No Nama Formulir Format File 1 Permohonan Alih Kredit dari Perguruan Tinggi Lain Ke UT Unduh 2 Deskripsi Mata Kuliah Unduh 3 Daftar Mata Kuliah yang diajukan untuk Dialihkreditkan dari Perguruan Tinggi Lain Unduh 4 Permohonan Alih Kredit Pindah Program Studi Dari UT Ke UT Unduh 5 Daftar Mata Kuliah yang diajukan Untuk Dialihkreditkan dari UT Ke UT Unduh 6 Rpl ut Alih Kredit Alumni UT Unduh Selain Form tersebut diatas, mahasiswa rpl ut calon mahasiswa juga diwajibkan untuk menyiapkan dokumen lain seperti Foto Copy Legalisir Ijazah, Transkip Nilai, Rpl ut, dan Kartu Mahasiswa.

Setelah semua dokumen yang dipersyaratkan sudah terpenuhi, bisa langsung login ke url http://rpl.ut.ac.id. Cara Alih Kredit Atau Rekognisi Rpl ut Lampau (RPL) melalui url http://rpl.ut.ac.id.

rpl ut

• Pastikan anda bisa membuka url ttp://rpl.ut.ac.id. dan memilih menu mahasiswa (bagi Mahasiswa) dan atau Calon mahsiswa (bagi calon mahasiswa yang akan mendaftar) • login menggunakan Nim dan Tanggal lahir sebagai user dan paswod, ketika berhasil login maka akan muncul sesuai data mahasiswa yang ada.

rpl ut

• Pilih menu Unggah Berkas, cek data pada bagian "tulisan Yang bertanda tangan di bawah ini: pilih " Edit Data rpl ut " jika terdapat kekeliruan. • Pilih " Status proses:" isi Akreditasi PS, Akreditasi PT, dan Tanggal Ajuan sesuai data yang ada.

kemudian baca juga perintah dibawahnya yaitu "Mengajukan permohonan alih kredit untuk mata kuliah yang pernah XXX (Nama mahasiswa) tempuh di XXXX (nama PT sebelumnya)." • Upload lampiran yang diminta (* image, pdf: maksimal 500kb yaitu : • Unggah File Daftar Mata kuliah RPL (Daftar mata kuliah yang diajukan untuk dialih kreditkan) • Unggah File Formulir Deskripsi mata Kuliah - Pdf maksimal 2 Mb. (Formulir deskripsi mata kuliah yang telah diisi serta ditandatangani (tandatangan oleh Dekan/Direktur/Ketua atau Pejabat yang setingkat yang berwenang di perguruan tinggi asal) dan distempel pada setial lembar.) • Uunggah File Fotocopy Transkip Nilai (Foto copy transkip nilai yang telah dilegalisir Perguruan Tinggi Asal) • Unggah File Ijazah/Surat Keterangan kuliah/Pindah • Unggah Dile Surat Keterangan Konversi (Surat keterangan konversi nilai yang telah diubah ke sistem SKS dan nilai berupa Huruf/abjad bila nilai dalam sistem paket/angka) • Unggah file Foto Copy kartu Mahasiswa UT • Unggah file Foto Copy Kartu Tanda penduduk • Unggah fileFormulir Pengajuan RPL (formulir pengajuan RPL dari katalog) • Unggah file Surat Keterangan Mengajar (Khusus FKIP) • Setelah semua terlewati, langkah selanjutnya adalah memilih "Entri mata Kuliah" kemudian tambah mata kuliah dan isi semua form yang ada dan diahiri dengan "Simpah Mata Kuliah".

Ulangi tahap rpl ut sampai semua mata kuliah yang akan dialih kreditkan terentri. kemudian pilih "Ajukan". Welcome to the Robot Perception and Learning (RPL) Lab at the University of Texas at Austin! Our research focuses on two intimately connected research threads: Robotics and Embodied Rpl ut. We investigate the synergistic relations of perception and action in embodied agents and build intelligent algorithms that give rise to general-purpose robot autonomy.

In Robotics, we develop methods and mechanisms that enable autonomous robots to reason about the real world through their senses, to flexibly perform a wide range of tasks, and to adaptively learn new tasks.

To deploy general-purpose robot autonomy in the wild, we have to deal with the variability and uncertainty of the unstructured environments. We address this challenge by closing the perception-action loop using robot perception and learning techniques.

In Embodied AI, we build computational frameworks of embodied agents. In these frameworks, perception arises from an embodied agent's active, situated, and skillful interactions in the open world; and its ability to make sense of the world through the lenses of perception, in turn, facilitates intelligent behaviors.

Our work draws theories and methods from robotics, machine learning, and computer vision, along with inspirations from human cognition, neuroscience, and philosophy, to solve open problems at the forefront of Robotics and AI. We are always looking out for talented members to join our group. Recent News • Our lab has three papers accepted at CVPR 2022, including two oral presentations.

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• We received the NSF CAREER award to support our research on intelligent rpl ut manipulation. • Our lab has four papers accepted at ICRA 2022 and RA-L. • We released robosuite v1.3 with new rendering tools and APIs to vision modalities. • Our lab has two papers accepted at CoRL 2021, including one oral presentation. • We released robomimic, an open-source framework for robot learning from demonstration.
Rekognisi Pembelajaran Lampau (RPL) adalah pengakuan atas Capaian Pembelajaran seseorang yang diperoleh dari pendidikan formal atau nonformal, dan/atau pengalaman kerja kedalam pendidikan formal (Peraturan Menteri Riset, Teknologi, dan Pendidikan Tinggi nomor: 26 Tahun 2016).

RPL bertujuan untuk memberikan kesempatan bagi masyarakat untuk masuk dalam sistem pendidikan formal atau disetarakan dengan kualifikasi tertentu berdasarkan pada pendidikan formal, nonformal, informal atau pengalaman kerja pada bidang yang sangat khusus atau langka dan dibutuhkan oleh negara seperti dosen, instruktur, guru, tenaga kesehatan dan profesi tertentu lainnya yang sangat spesifik.

Sistem Alih kredit merupakan RPL yang selama rpl ut diberlakukan oleh UT. Alih kredit merupakan pengakuan terhadap pengalaman belajar dan kelulusan mata kuliah yang telah diperoleh mahasiswa dari suatu perguruan tinggi. Format Form Permohonan Alih Kredit
Recognition of prior learning and experience (RPL) is a process that allows skills and competencies already acquired to be taken into account for study purposes if they are the learning outcomes for the courses on the curriculum.

rpl ut

In University of Tartu, previous studies and work experience may be taken into account in the completion of the curriculum without limitation, but it does not apply to final examinations and defense of graduation papers. There may be courses in the study programme for which RPL cannot be taken info account.

rpl ut

Further information about this is available in the general information on particular courses in SIS. Application form to have previous studies and work experience taken into account Annex 1 (taking courses/continuing education into account) Annex 2 (taking work rpl ut into account) In addition to the application and the corresponding annex, the student must submit documents rpl ut studies (the original and a copy), for example a diploma, extract from the diploma supplement, a document describing the substance of the studies and other materials (for example portfolio, description of work experience, creative work, etc.), unless the completion of the course has been proven in the Study Information System.

The applicant is responsible for the accuracy of the submitted documents and other materials. The application and additional documents must be submitted to the Dean’s Office of the Faculty or to the RPL adviser. The application is evaluated by the Faculty’s RPL Committee, which must reply to the application in writing within one month of submission of the application. Applications submitted for the completion of the curriculum are not reviewed in July.

rpl ut

No RPL application is needed for the recognition of prior learning in the following cases: • when the student is transferring courses taken at another higher education institution on the basis of the study plan; • when the student is rematriculated to the same version of curriculum he or she has previously studied; • when the student is transferring courses completed at another university as a visiting student according to the doctoral student’s individual study plan; • when the student is changing curriculum; • when recognition of study results has been agreed in the joint study cooperation agreement between education instututions; • when an applicant for master's studies has completed a curriculum that matches the prerequisite curriculum in terms of content.

The fee for review and evaluation of the application is 10 euros per credit point. Review and evaluation of the application is free of charge in the following cases: • when evaluation of courses completed in 2001 or later at the University of Tartu is applied for; • when evaluation of compliance of previous studies with the terms of admission is applied for; • when an application for completion of the doctoral curriculum is rpl ut.

If an applicant is discontent with the reply received to an RPL application, the applicant can appeal against the decision. The initial appeal must be filed either orally or in writing with the same person or committee who made the original decision. If the person (or committee) does not change the decision, the student can appeal to the Dean within seven days of announcement of the appeal decision.

The following appeals must be submitted in writing: • appeal against an RPL decision (form in Estonian); • a copy of the appeal decision and, if possible, additional documents supporting the appellant's position (originals and copies) should be appended to the appeal. The procedure for appeal, the possibilities of resolving appeals and the time limits for replying are set out rpl ut the University of Tartu Study Regulations.none
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RPL Stars: Yury Dyupin




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