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7    content="DeXtreme is a system to perform highly dextrous manipulation with robotic hands using scaled simulation data.">
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10  <title>DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality</title>
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89            <h1 class="title is-1 publication-title">De<span style="color:#86B737">X</span>treme: Transfer of Agile
90              In-Hand Manipulation from Simulation to Reality</h1>
91            <div class="is-size-5 publication-authors">
92              <span class="author-block">
93                <a href="https://ankurhanda.github.io/">Ankur Handa</a>,
94              </span>
95              <span class="author-block">
96                <a href="https://allshire.org">Arthur Allshire</a>,
97              </span>
98              <span class="author-block">
99                <a href="https://twitter.com/viktor_m81?lang=en">Viktor Makoviychuk</a>,
100              </span>
101              <span class="author-block">
102                <a href="https://alex-petrenko.github.io/">Aleksei Petrenko</a>,
103              </span>
104
105              <br />
106
107              <span class="author-block">
108                <a href="">Ritvik Singh</a>,
109              </span>
110              <span class="author-block">
111                <a href="https://www.linkedin.com/in/jasonjzliu/">Jingzhou Liu</a>,
112              </span>
113              <span class="author-block">
114                <a href="">Denys Makoviichuk</a>,
115              </span>
116              <span class="author-block">
117                <a href="">Karl Van Wyk</a>,
118              </span>
119              <span class="author-block">
120                <a href="">Alexander Zhurkevich</a>,
121              </span>
122              <br />
123              <span class="author-block">
124                <a href="">Balakumar Sundaralingam</a>,
125              </span>
126              <span class="author-block">
127                <a href="">Yashraj Narang</a>,
128              </span>
129              <span class="author-block">
130                <a href="">Jean-Francois Lafleche</a>,
131              </span>
132              <span class="author-block">
133                <a href="">Dieter Fox</a>,
134              </span>
135              <span class="author-block">
136                <a href="">Gavriel State</a>
137              </span>
138            </div>
139
140            <div class="is-size-5 publication-authors">
141              <span class="author-block"><a href="https://research.nvidia.com/research-area/robotics"><b><img
142                      src="static/images/nvidia.svg" style="height:40px"></b></a></span>
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153                    <span>Paper</span>
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162                  <span>arXiv</span>
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172                    <span>Video</span>
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177                  <a href="https://github.com/NVIDIA-Omniverse/IsaacGymEnvs/tree/main/isaacgymenvs/tasks/dextreme" class="external-link button is-normal is-rounded is-dark">
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185
186            </div>
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189      </div>
190    </div>
191  </section>
192
193  <section class="hero teaser">
194    <div class="container is-max-desktop">
195      <div class="hero-body">
196        <video id="teaser" autoplay muted loop playsinline width="100%">
197          <source src="static/images/teaser.mp4" type="video/mp4">
198        </video>
199	<!--<h2 class="subtitle has-text-centered">-->
200        <h2 class="subtitle" align="justify">
201          <span class="dnerf">DeXtreme</span> achives human-like in-hand manipulation while training entirely in
202          simulation. In the inset video, we show the live visualisation (no physics involved) of the states of hand and cube in Omniverse i.e.
203	  the joint values of the hand and cube pose are teleported in simulation. The Omniverse video is recorded at 10Hz while the real-world video is captured at 30Hz so there might be some repetitive frames and lag in the inset video. The live visualisation is only possible because of the explicit representation used for tracking the cube and we found this to be very helpful for diagnosing the performance of the pose estimator as well as the policy.
204        </h2>
205      </div>
206    </div>
207  </section>
208
209
210  <section class="section">
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212      <!-- Abstract. -->
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215          <h2 class="title is-3">Abstract</h2>
216          <div class="content has-text-justified">
217
218            <p>We present our techniques to train a) a policy that can perform robust dexterous manipulation on an
219              anthropomorphic robot hand and b) a robust pose estimator suitable
220              for providing reliable real-time information on the state of the object being manipulated.</p>
221
222            <p><span class="dnerf">DeXtreme</span> policies are trained to adapt to a wide range of conditions in
223              simulation.
224              Consequently, our vision-based policies significantly outperform the best vision policies
225              in the literature on the same reorientation task and are competitive with policies that
226              are given privileged state information via motion capture systems.</p>
227
228            <p>Recent work has demonstrated the ability of deep reinforcement learning (RL) algorithms
229              to learn complex robotic behaviours in simulation, including in the domain of multi-fingered manipulation.
230              However, such models can be challenging to transfer to the real world due to the gap between simulation
231              and reality.</p>
232
233            <p>Our work reaffirms the possibilities of sim-to-real transfer for dexterous manipulation in diverse kinds
234              of hardware and simulator setups, and in our case, with the Allegro Hand and Isaac Gym GPU-based
235              simulation.
236              Furthermore, it opens up possibilities for researchers to achieve such results with commonly-available,
237              affordable robot hands and cameras.</p>
238          </div>
239        </div>
240      </div>
241      <!--/ Abstract. -->
242
243      <!-- Paper video. -->
244      <div class="columns is-centered has-text-centered">
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246          <h2 class="title is-3" id="overview_video">Video</h2>
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249                  frameborder="0" allow="autoplay; encrypted-media" allowfullscreen></iframe> -->
250            <video id="teaser" controls width="100%">
251              <!-- <source src="https://homes.cs.washington.edu/~kpar/nerfies/videos/teaser.mp4"
252                    type="video/mp4"> -->
253              <source src="static/images/ICRA23_suppl.mp4" type="video/mp4">
254            </video>
255          </div>
256        </div>
257      </div>
258
259      <div class="columns is-centered has-text-centered">
260	      <h2>All the video below are recorded at <b>1x real time</b>.
261	      </h2>
262      </div>
263
264      <!--/ Paper video. -->
265      <div class="columns is-centered has-text-centered">
266        <div class="column is-four-fifths">
267          <h2 class="title is-3" id="overview_video">A video of a longer rollout: 86 CS</h2>
268          <div class="publication-video">
269            <video id="teaser" controls width="100%">
270              <source src="static/images/85CS_NoHold_2.mp4" type="video/mp4">
271            </video>
272          </div>
273        <h2 class="subtitle has-text-centered">
274          An example of a longer rollout where the hand achieves 86 sucesses in a row.
275        </h2>
276        </div>
277      </div>
278
279      <!--/ Paper video. -->
280      <div class="columns is-centered has-text-centered">
281        <div class="column is-four-fifths">
282          <h2 class="title is-3" id="overview_video">Goal frame hold rollout: 43CS</h2>
283          <div class="publication-video">
284            <video id="goal_frame_43CS" controls width="100%">
285              <source src="static/images/44CS_noOV_goal_frame_hold_with_audio_handbrake.mp4" type="video/mp4">
286            </video>
287          </div>
288        <h2 class="subtitle has-text-centered">
289          An example of a rollout achieving 43 CS where the cube is held at the goal pose for 10 frames in a row.
290        </h2>
291        </div>
292      </div>
293
294      <!--/ Paper video. -->
295      <div class="columns is-centered has-text-centered">
296        <div class="column is-four-fifths">
297          <h2 class="title is-3" id="overview_video">Goal frame hold rollout: 29CS</h2>
298          <div class="publication-video">
299            <video id="teaser" controls width="100%">
300              <source src="static/images/29CS_goal_frame_hold_with_audio_handbrake.mp4" type="video/mp4">
301            </video>
302          </div>
303        <h2 class="subtitle has-text-centered">
304          An example of a rollout achieving 29 CS where the cube is held at the goal pose for 10 frames in a row.
305        </h2>
306        </div>
307      </div>
308
309      <!--/ Paper video. -->
310      <div class="columns is-centered has-text-centered">
311        <div class="column is-four-fifths">
312          <h2 class="title is-3" id="overview_video">Goal frame hold rollout: 13CS</h2>
313          <div class="publication-video">
314            <video id="teaser" controls width="100%">
315              <source src="static/images/13CS_goal_frame_hold_with_audio_handbrake.mp4" type="video/mp4">
316            </video>
317          </div>
318        <h2 class="subtitle has-text-centered">
319          An example of a rollout achieving 13 CS where the cube is held at the goal pose for 10 frames in a row.
320        </h2>
321        </div>
322      </div>
323
324
325      <!-- Long rollout video. -->
326      <!-- <div class="columns is-centered has-text-centered">
327      <div class="column is-four-fifths">
328        <h2 class="title is-3" id="overview_video">Longer Rollout Video</h2>
329        <div class="publication-video">
330          <video id="teaser" controls width="100%">
331            <source src="static/images/long_video.mp4"
332                    type="video/mp4">
333          </video>
334        </div>
335      </div>
336    </div> -->
337      <!--/ Long rollout video. -->
338
339    </div>
340  </section>
341
342
343  <section class="section" id="BibTeX">
344    <div class="container is-max-desktop content">
345      <h2 class="title">BibTeX</h2>
346      <pre><code>@article{nvidia2022dextreme,
347  author    = {Handa, Ankur and Allshire, Arthur and Makoviychuk, Viktor and Petrenko, Aleksei and Singh, Ritvik and Liu, Jingzhou and Makoviichuk, Denys and Van Wyk, Karl and Zhurkevich, Alexander and Sundaralingam, Balakumar and Narang, Yashraj and Lafleche, Jean-Francois and Fox, Dieter and State, Gavriel},
348  title     = {DeXtreme: Transfer of Agile In-Hand Manipulation from Simulation to Reality},
349  journal   = {arXiv},
350  year      = {2022},
351}</code></pre>
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