Papers
Learning Deep Stochastic Optimal Control Policies Using Forward-Backward SDEs
Ziyi Wang, Marcus Pereira, Ioannis Exarchos et al.
Reachable Space Characterization of Markov Decision Processes with Time Variability
Junhong Xu, Kai Yin, Lantao Liu
Remote Telemanipulation with Adapting Viewpoints in Visually Complex Environments
Daniel Rakita, Bilge Mutlu, Michael Gleicher
A Hierarchical Geometric Framework to Design Locomotive Gaits for Highly Articulated Robots
Baxi Zhong, Yasemin Ozkan-Aydin, Guillaume Sartoretti et al.
Scalable and Congestion-Aware Routing for Autonomous Mobility-On-Demand Via Frank-Wolfe Optimization
Kiril Solovey, Mauro Salazar, Marco Pavone
Inverting Learned Dynamics Models for Aggressive Multirotor Control
Alexander Spitzer, Nathan Michael
Learning to Plan with Logical Automata
Brandon Araki, Kiran Vodrahalli, Thomas Leech et al.
Network Offloading Policies for Cloud Robotics: A Learning-Based Approach
Sandeep Chinchali, Apoorva Sharma, James Harrison et al.
Asymptotically Optimal Planning for Non-Myopic Multi-Robot Information Gathering
Yiannis Kantaros, Brent Schlotfeldt, Nikolay Atanasov et al.
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
Wennie Tabib, Kshitij Goel, John Yao et al.
Modeling and Control of Soft Robots Using the Koopman Operator and Model Predictive Control
Daniel Bruder, Brent Gillespie, C. David Remy et al.
Planning with State Abstractions for Non-Markovian Task Specifications
Yoonseon Oh, Roma Patel, Thao Nguyen et al.
High-Throughput Computation of Shannon Mutual Information on Chip
Peter Zhi Xuan Li, Zhengdong Zhang, Sertac Karaman et al.
Toward Asymptotically-Optimal Inspection Planning Via Efficient Near-Optimal Graph Search
Mengyu Fu, Alan Kuntz, Oren Salzman et al.
Risk Contours Map for Risk Bounded Motion Planning under Perception Uncertainties
Ashkan M. Jasour, Brian Williams
DIViS: Domain Invariant Visual Servoing for Collision-Free Goal Reaching
Fereshteh Sadeghi
Local Koopman Operators for Data-Driven Control of Robotic Systems
Giorgos Mamakoukas, Maria Castano, Xiaobo Tan et al.
Direct Drive Hands: Force-Motion Transparency in Gripper Design
Ankit Bhatia, Aaron Johnson, Matthew T. Mason
Trajectory Optimization for Cable-Driven Soft Robot Locomotion
James Bern, Pol Banzet, Roi Poranne et al.
Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
Sean Vaskov, Shreyas Kousik, Hannah Larson et al.
Leveraging Experience in Lazy Search
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots et al.
PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation
Xinke Deng, Arsalan Mousavian, Yu Xiang et al.
Game Theoretic Planning for Self-Driving Cars in Competitive Scenarios
Mingyu Wang, Zijian Wang, John Talbot et al.
Probabilistic Multimodal Modeling for Human-Robot Interaction Tasks
Joseph Campbell, Simon Stepputtis, Heni Ben Amor
DensePhysNet: Learning Dense Physical Object Representations Via Multi-Step Dynamic Interactions
Zhenjia Xu, Jiajun Wu, Andy Zeng et al.