1.1k citations
- ETH ZurichCH18 papers
- Carnegie Mellon UniversityUS2 papers
- Centre for Artificial Intelligence and RoboticsIN2 papers
- Robotics Research (United States)US2 papers
- Forschungszentrum JülichDE1 paper
- Functional Genomics Center ZurichCH1 paper
- Institute of Informatics and TelematicsIT1 paper
- Intelligent Systems Research (United States)US1 paper
- Intel (United States)US1 paper
- RWTH Aachen UniversityDE1 paper
- Swiss Federal Laboratories for Materials Science and TechnologyCH1 paper
- University of AugsburgDE1 paper
18 papers
Learning coordinated badminton skills for legged manipulators
Yuntao Ma, Andrei Cramariuc, Farbod Farshidian +1
Coordinating the motion between lower and upper limbs and aligning limb control with perception are substantial challenges in robotics, particularly in dynamic environments. To thi…
DTC: Deep Tracking Control
Fabian Jenelten, Junzhe He, Farbod Farshidian +1
Legged locomotion is a complex control problem that requires both accuracy and robustness to cope with real-world challenges. Legged systems have traditionally been controlled usin…
Demand Response for Flat Nonlinear MIMO Processes using Dynamic Ramping Constraints
Florian Joseph Baader, Philipp Althaus, André Bardow +1
Volatile electricity prices make demand response (DR) attractive for processes that can modulate their production rate. However, if nonlinear dynamic processes must be scheduled si…
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki, Joonho Lee, Jemin Hwangbo +3
Legged robots that can operate autonomously in remote and hazardous environments will greatly increase opportunities for exploration into under-explored areas. Exteroceptive percep…
Data-Driven Demand-Side Flexibility Quantification: Prediction and Approximation of Flexibility Envelopes
Nami Hekmat, Hanmin Cai, Thierry Zufferey +2
Real-time quantification of residential building energy flexibility is needed to enable a cost-efficient operation of active distribution grids. A promising means is to use the so-…
Contact-Implicit Trajectory Optimization for Dynamic Object Manipulation
Jean-Pierre Sleiman, Jan Carius, Ruben Grandia +2
We present a reformulation of a contact-implicit optimization (CIO) approach that computes optimal trajectories for rigid-body systems in contact-rich settings. A hard-contact mode…