20th IEEE Latin American Robotics Symposium - LARS 2023 15th Brazilian Symposium on Robotics - SBR 2023 14th Workshop of Robotics in Education - WRE 2023
The IEEE LARS and SBR (Latin American Robotics Symposium/Brazilian Robotics Symposium) aim at promoting a comprehensive scientific meeting in the area of Intelligent Robotics, bringing together researchers, undergraduate and graduate students of Computer Science, Electrical Engineering, Mechatronics Engineering, Computer Engineering, and related fields.
The LARS/SBR and its associated scientific events are the primary scientific/academic meetings of a larger event that brings relevant developments in robotics, named ROBÓTICA 2023. This also comprises the LARC/CBR (Latin American Robotics Competition / Brazilian Robotics Competition), OBR (Brazilian Robotics Olympiad), MNR (National Robotics Fair), besides the LARS/SBR, WRE (Workshop on Robotics in Education) and WTDR / CTDR (Workshop on MSc Dissertation and PhD Thesis in Robotics and Best MSc Dissertation and PhD Thesis Contest in Robotics ).
The event will include technical sessions of an oral presentation of full papers and technical lectures of recognized importance in the area. LARS/SBR will take place in Salvador, Bahia, Brazil from October 9th to 11st, 2023.
Date and Time
Location
Hosts
Registration
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- Av. Octávio Mangabeira, 5.490 Boca do Rio
- Salvador, Bahia
- Brazil 41.706-690
- Building: Centro de Convenções de Salvador
- Contact Event Host
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Profa. Dra. Ana Patrícia Fontes Magalhães Mascarenhas - UNEB / apmagalhaes@uneb.br
Prof. Dr. Thiago Pedro Donadon Homem - IFSP / thiagohomem@ifsp.edu.br
- Co-sponsored by Brazilian Computer Society (SBC) and Universidade do Estado da Bahia (UNEB)
- Survey: Fill out the survey
- Starts 01 August 2023 03:00 AM UTC
- Ends 11 October 2023 03:00 PM UTC
- No Admission Charge
Speakers
Peter Stone of The University of Texas at Austin
Practical Reinforcement Learning: Lessons from 30 years of Research
Abstract: The field of reinforcement learning (RL) has a long history of theoretical results that indicate when RL algorithms should work.
Throughout this history, there has been a complementary thread of research that tests the theoretical assumptions by seeking to determine when (and how) RL algorithms do work in practice. Drawing on 30 years of research results, mostly from the Learning Agents Research Group at UT Austin, this talk will summarize lessons learned about practical RL into four high-level topics: 1) Representation - choosing the algorithm for the problem's representation and adapating the representation to fit the algorithm; 2) Interaction - with other agents and with human trainers; 3) Synthesis - of different algorithms for the same problem and of different concepts in the same algorithm; and 4) Mortality - dealing with the constraint that in most practical settings, opportunities for learning experience are limited.
Biography:
Email:
Address:Department of Computer Science, 2515 Speedway, Austin, TX , EUA, , Austin, Texas, United States, 78712
Martin Saska of Czech Technical University in Prague
Research of groups of aerial robots at CTU in Prague
Multi-robot systems group. Multi-robot Systems (MRS) group at Czech Technical University in Prague integrates various research disciplines required for design, implementation, experimental evaluation, and application of complex robotic systems in real-world conditions. Research streams followed by MRS group members include motion and trajectory planning, locomotion generation, control, communication, coordination, image processing, and stabilization of groups of ground and aerial robots. From the application point of view, MRS deals with environment monitoring by swarms of micro aerial vehicles, self-stabilized convoys of ground and aerial robots, search & rescue robotics, monitoring and mapping of historical buildings by aerial robots, aerial manipulation, etc. We are proud of our successes at international robotic competitions, such as MBZIRC 2017, where our team presented the best performance in multi-robot challenge out of 140 registered participants from the best robotic groups world-wide, MBZIRC 2020 that we won completely and DARPA SubT, where we obtained 2 first, 1 second, and 2 third positions.
Biography:
Email:
Address:Jugoslávských partyzánů 1580/3, 160 00 Praha 6-Dejvice, Tchéquia, , Prague, Czech Republic
Agenda
| SBR-LARS 2023 | ||||
|---|---|---|---|---|
| Hour/Date | Oct 8th | Oct 9th | Oct 10th | Oct 11th |
| 8:00-8:30 | Registration | |||
| 8:30-9:30 | Room 1: TS: Vision, Sensing and Mapping 1 | Room 1: TS: Control of Robotic
Systems 1 |
Room 1: TS: Robotic Systems and Architecture 1
Room 2: TS: Assistive Robotics and Human Robot Interaction 2 Room 3: Workshop SHARK |
|
| 9:30-10:30 | Room 1: TS: Vision, Sensing and Mapping 2 | Room 1: TS: Control of Robotic
Systems 2 |
Room 1: TS: Robotic Systems and Architecture 2
Room 2: TS: Vision, Sensing and Mapping 4 Room 3: Workshop SHARK |
|
| 10:30-11:00 | Coffee Break | |||
| 11:00-12:00 | Room 1: TS: Vision, Sensing and Mapping 3 | Room 1: TS: Control of Robotic
Systems 3 |
Room 1: TS: Navigation and Path Planning 3
Room 2: TS: Vision, Sensing and Mapping 5 Room 3: Workshop SHARK |
|
| 12:00-13:30 | Lunch | |||
| 13:30-14:30 | Room 1: TS: Aerial and Aquatic Vehicles 1 | Room 1: Keynote Luis Paulo
Univ. Porto |
Room 1: Keynote Martin Saska
Czech Technical Univ. |
|
| 14:30-15:30 | Room 1: TS: Aerial and Aquatic Vehicles 2 | Room 1: TS: Assistive Robotics and Human Robot Interaction 1 | Room 1: TS: Control of Robotic
Systems 4 Room 2: TS: Aerial and Aquatic Vehicles 3
Room 3: TS: Vision, Sensing and Mapping 6 |
|
| 15:30-16:00 | Coffee Break | |||
| 16:00-17:00 | Room 1: TS: Navigation and Path Planning 1 | Room 1: TS: Robot Learning
|
Room 1: TS: Control of Robotic
Systems 5 Room 2: TS: Navigation and Path Planning 4 Room 3: TS: Vision, Sensing and Mapping 7 |
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| 17:00-18:00 | Room 1: TS: Navigation and Path Planning 2 | Room 1: TS: Control of Robotic
Systems 6 |
||
| 18:00-19:00 | Open Ceremony | Room 1: Keynote Peter Stone
Univ. Texas |
Closing Ceremony | |
| 19:00-22:00 |
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Conference Dinner | ||