Schedule 

All times listed locally for Vienna, Austria in Central European Time

All presentations will be in-person unless noted otherwise.

Lightning Talks

• TinySDP: Real Time Semidefinite Optimization for Certifiable and Agile Edge Robotics by Ishaan Mahajan, Jon Arrizabalaga, Andrea Grillo, Fausto Vega, James Anderson, Zachary Manchester and Brian Plancher

• Dataflow MPPI: Hardware-Software Co-Design for FPGA Acceleration of Sampling-Based Optimal Control by Tanmay Desai, Ruth Iris Bahar and Brian Plancher

• Coroutine Scheduling in Task and Motion Planning by Clayton Ramsey and Lydia Kavraki

• pAORRTC: GPU-Parallel Almost-Surely Asymptotically Optimal Planning by Chih Huang, Zachary Kingston and Brian Plancher

• Sharc-Drive: Hardware-Aware Simulation for Real-Time Autonomous Driving by Yasin Sonmez, Shengmin Liu, Tyler Brady, Yash Mathur, Malavikha Sudarshan and Murat Arcak

• End-to-End Hardware-Algorithm Co-Design for High-Rate FPGA-Accelerated MPC on Tiny Drones by Andrea Grillo and Brian Plancher

• Hardware-Aware Co-Design for High-Frequency Visual MPC on Edge SoCs by Prithvi Singh

• PyRoFFI: Accelerating Foreign Kinematics Kernels by Sai Coumar, Weihang Guo and Zachary Kingston

• FPGA-Based Hardware Acceleration of Contrast Maximization for Event Vision: Towards Heterogeneous SoC Architectures with AI Engines by Marcin Kowalczyk and Tomasz Kryjak

• cuPIQP: GPU-Accelerated Proximal Interior-Point Solvers for General and Multistage QP by Fenglong Song, Roland Schwan and Colin Jones

• Open SPITE by Yulie Arad, Nancy Amato, Marco Morales Aguirre, James Motes and Marta Markowicz

• A New RoboArch Cosimulation Framework for Resource-Constrained Multi-Robot Teams by Derin Ozturk, Zhantong Qiu, Jason Lowe-Power and Christopher Batten

• Differentiable and Constrained Model Predictive Control on the GPU by Gabriel Bravo, Jianghan Zhang, Zachary Pestrikov, Brian Plancher and Thomas Lew

Poster Session

All lightning talks include a poster as well as the following additional posters:

• Accelerating Real-Robot Deep Reinforcement Learning via Branched Symmetries by Ryan Vander Stelt, Cleiver Ruiz-Martinez, Blake Hull and Juan Rojas

• Provably Accurate Fixed-Point Arithmetic for Robotics Accelerators by Alp Eren Yilmaz, Lillian Pentecost, Thomas Bourgeat, Brian Plancher and Sabrina Neuman

• ClustViT: Clustering-based Token Merging for Semantic Segmentation by Fabio Montello, Ronja Güldenring and Lazaros Nalpantidis

• GPU-Accelerated Collaborative Optimal Transport for Scalable Multi-agent Motion Control by Ying Zhang, An Thai Le and Meng Guo

• Model-Structured Neural Networks on Edge Hardware: A Preliminary Study by Giovanni Maria Francesco La Scala, Sebastiano Taddei, Francesco Baroni, Gioele Defrancesco, Filippo Faccini and Gastone Pietro Rosati Papini

• Neuromorphic Underwater Navigation: Complementing DVLs with Stereo Event Cameras by Hayat Rajani, Valerio Franchi and Nuno Gracias

• Towards Massively Parallel Motion Planning with Inverse Dynamics by Ioannis Tsikelis and Enrico Mingo Hoffman

• Multi-Robot SPITE: Accelerating Multi-Robot Motion Planning via Hierarchical Swept-Volume Approximations by Marta Markowicz, Sarah Dowden, James Motes, Marco Morales and Nancy Amato

• And more redacted due to concurrent double-blind review for full proceedings