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Trajectory Optimization

Benchmarks

Dataset Name	SOTA Method	Metric
Contact-rich trajectory environments (ant, halfcheetah, hopper, humanoidrun, humanoidstandup, humanoidtrack, pushT, walker2d) (test)	DIDA	Optimized Cost0.032	24	15d ago
2D Car		Mean Execution Time (ms)2.1	10	1d ago
quadrotor		Mean Execution Time (s)0.0028	10	1d ago
Push T	PISTO	Time (s)134.6235	8	15d ago
Humanoid Standup		Computational Time (s)17.6	8	15d ago
Walker2D		Computational Time (s)34.5	8	15d ago
Barkour nx=37 nu=12 Tmpc=50 All Trajectories	SV-DDP	Success Rate92	7	1d ago
Barkour nx=37, nu=12, Tmpc=50 Feasible Trajectories	SV-DDP	Success Rate91	7	1d ago
Ant nx=29, nu=8, Tmpc=40 All Trajectories	MG-ME-DDP	Success Rate83	7	1d ago
Ant (nx=29, nu=8, Tmpc=40) [Feasible Trajectories]	MG-ME-DDP	Success Rate82	7	1d ago
Quadrotor nx=12, nu=4, Tmpc=70 All Trajectories	UG-ME-DDP	Success Rate (%)95.6	7	1d ago
Quadrotor (nx=12, nu=4, Tmpc=70) Feasible Trajectories	UG-ME-DDP	Success Rate91.3	7	1d ago
Quadrotor (nx=12, nu=4, Tmpc=50) All Trajectories	SV-DDP	Success Rate89.4	7	1d ago
Quadrotor (nx=12, nu=4, Tmpc=50) Feasible Trajectories	SV-DDP	Success Rate83.1	7	1d ago
2D Car (nx=3, nu=2, Tmpc=70) [All Trajectories]	SV-DDP	Success Rate95	7	1d ago
2D Car nx=3, nu=2, Tmpc=70 Feasible Trajectories	SV-DDP	Success Rate85	7	1d ago
2D Car (nx=4, nu=2, Tmpc=50) [All Trajectories]	SV-DDP	Success Rate93.8	7	1d ago
2D Car (nx=4, nu=2, Tmpc=50) [Feasible Trajectories]	SV-DDP	Success Rate81.9	7	1d ago
humanoid track	DIDA	Optimized Cost0.845	6	15d ago
hopper	DIDA	Optimized Cost0.623	6	15d ago
halfcheetah	DIDA	Optimized Cost0.414	6	15d ago
ant	DIDA	Optimized Cost0.032	6	15d ago
Control trajectory optimization high-dimensional (d=32)	SHAPE	Hit rate54.8	6	23d ago
Control trajectory optimization low-dimensional (d=8)		Final Distance0.233	6	23d ago
Pusher Slider		Runtime (seconds)12.1	5	1mo ago

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