Embedded Files
Morning session - 1st floor, 117-128
Spotlights
117 - Hrishikesh Sathyanarayan, Ian Abraham
Exciting Contact Modes in Differentiable Simulations for Robot Learning
118 - Ben Moran, Leonard Hasenclever, Zhibin Li
Combining differentiable physics and rendering for robot scene state estimation
119 - Achim von Prittwitz und Gaffron, Khaled Wahba, Wolfgang Hönig
Automatic Gain Tuning for Multirotors Using Differentiable Optimization
120 - Sümer Tunçay, Ignacio Carlucho
Towards Data-Efficient Control Policy Training for Underwater Vehicles via Differentiable Simulation
121 - Felix Jahncke, Johannes Betz
MIND-Stack: A Modular, Interpretable, End-to-End Differentiable Software Stack for Autonomous Robots
122 - Felix Petersen, Christian Borgelt, Stefano Ermon
Efficient Reinforcement Learning Agents with Differentiable Logic Gate Networks
124 - Quentin Le Lidec, Louis Montaut, Yann de Mont-Marin, Justin Carpentier
End-to-End and Highly-Efficient Differentiable Simulation for Robotics
125 - Fabian Schramm, Antoine Bambade, Quentin Le Lidec, Adrien Taylor, Justin Carpentier
126 - Lanke Frank Tarimo Fu
Extrinsic calibration-driven Active Perception through Differentiable Pose Optimization
127 - Joshua Bagajo, Clemens Schwarke, Victor Klemm, Ignat Georgiev, Jean Pierre Sleiman, Jesus Tordesillas, Animesh Garg, Marco Hutter
DiffSim2Real: Deploying Quadrupedal Locomotion Policies Purely Trained in Differentiable Simulation
128 - Etienne Ménager, Justin Carpentier, Quentin Le Lidec, Louis Montaut
Differentiable Simulation of Soft Robots with Frictional Contacts
Afternoon session - 1st floor, 117-128
117 - Felix Petersen, Stefano Ermon
Triangular Distributions for Reinforcement Learning
118 - William Shen, Caelan Reed Garrett, Ankit Goyal, Tucker Hermans, Fabio Ramos
Differentiable GPU-Parallelized Task and Motion Planning
119 - Keyi Shen, Jiangwei Yu, Huan Zhang, Yunzhu Li
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics
120 - Angel Romero, Elie Aljalbout, Yunlong Song, Davide Scaramuzza
Actor-Critic Model Predictive Control
121 - Swaminathan Gurumurthy, Khai Nguyen, Arun L Bishop, Zachary Manchester, J Zico Kolter
Deep Equilibrium Model Predictive Control
122 - Johannes Heeg, Yunlong Song, Davide Scaramuzza
Learning Quadrotor Control From Visual Features Using Differentiable Simulation
123 - Samuel Holt, Todor Davchev, Dhruva Tirumala, Ben Moran, Atil Iscen, Antoine Laurens, Yixin Lin, Erik Frey, Markus Wulfmeier, Francesco Romano, Nicolas Heess
Evolving Control: Evolved High Frequency Control for Continuous Control Tasks
124 - Elad Sharony, Heng Yang, Tong Che, Marco Pavone, Shie Mannor, Peter Karkus
Learning Multiple Initial Solutions to Optimization Problems
125 - An Thai Le, Kay Hansel, Joao Carvalho, Julen Urain, Armin Biess, Georgia Chalvatzaki, Jan Peters
126 - Samiran Gode, Abhijeet Nayak, Wolfram Burgard
FlowNav: Learning Efficient Navigation Policies via Conditional Flow Matching
127 - Simon Idoko, Arun Kumar Singh
128 - Nelson Chen, Kun Wang, William R. Johnson III, Rebecca Kramer-Bottiglio, Kostas Bekris, Mridul Aanjaneya
Learning Differentiable Tensegrity Dynamics with Graph Neural Networks
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